METHODS AND SYSTEMS FOR PERSONALIZED RENDERING OF DIGITAL MEDIA CONTENT
20200104278 ยท 2020-04-02
Inventors
Cpc classification
H04N21/41422
ELECTRICITY
H04N21/4331
ELECTRICITY
H04N21/41407
ELECTRICITY
H04N21/4126
ELECTRICITY
G06F16/437
PHYSICS
H04H60/74
ELECTRICITY
H04N21/4622
ELECTRICITY
G06F16/40
PHYSICS
H04N21/458
ELECTRICITY
H04N21/4825
ELECTRICITY
H04N21/443
ELECTRICITY
H04N21/4826
ELECTRICITY
H04N21/4532
ELECTRICITY
H04N21/44209
ELECTRICITY
G06F16/436
PHYSICS
International classification
H04H20/10
ELECTRICITY
H04N21/462
ELECTRICITY
H04N21/414
ELECTRICITY
H04N21/433
ELECTRICITY
G06F16/40
PHYSICS
G06F16/435
PHYSICS
Abstract
Systems and methods are disclosed for providing devices capable of the reception and playback of one or more crafted media channels transmitted over an intermittent connection. The one or more channels may be customized by the end user to bias the programming towards individual tastes or moods. The channels may be delivered over an intermittent, unidirectional link, for example a Satellite Radio receiver in a home or car. Content may also be delivered over an intermittent, bidirectional link, for example to a portable media player via a wireless 802.11 or other networked connection.
Claims
1. 1. A method for facilitating personalized rendering of media files through on a device configured to access a data link, the method comprising: receiving, over the data link, a plurality of media files and associated file metadata, wherein the file metadata defines one or more attributes of the media files; and storing, in a memory of the device, ones of the media files and associated file metadata consistent with one or more channel profiles maintained within the memory of the device.
2. The method of claim 1 further comprising discarding, based upon the file metadata associated with said ones of the media files, one or more media files that are non-responsive to the one or more channel profiles; categorizing the media files stored in the memory of the device into one or more categories; and sequencing the media files for rendering responsive to the one or more categories.
3. The method of claim 2 wherein the media files selected responsive to the category are selected responsive to a measure to which the attributes of the media file match a set of attributes related to the category.
4. The method of claim 3 wherein the media files selected responsive to the category are additionally selected responsive to the degree to which the attributes of the media files match one or more attribute biases selectable by a user.
5. The method of claim 1 wherein sequencing for playback is responsive to a set of user preferences, said preferences including user identification of a user preference attribute of the media file as a favorite.
6. The method of claim 1 wherein sequencing for playback is responsive to a set of user preferences, said preferences including user identification of a user preference attribute of the media file as banned.
7. The method of claim 5 wherein said user preference attribute is further associated with an artist.
8. The method of claim 1 wherein the amount of storage devoted to local files associated with a channel is allocated responsive to the characteristics of the channel.
9. The method of claim 8 wherein the amount of storage devoted to the local files associated with a channel is allocated responsive to the characteristics of the categories associated with the channel.
10. A method for managing inventory of media files on a user personalized media file rendering device, comprising the steps of: receiving at the user device, over a communication link, a plurality of media files and associated metadata; determining a value metric of each of said plurality of media files, said determining based at least in part on said metadata; selecting, based on said determining a value metric, one or more media files of said plurality of media files for storage; and storing, in a memory of the device, said one or more selected media files.
11. A method for sequencing media files for rendering on a user personalized media file rendering device, comprising the steps of: storing, in a memory of said device, a plurality of media files and associated metadata; retrieving, from said memory, said metadata associated with ones of said plurality of media files; determining, for each retrieved metadata, a rendering value metric; and sequencing, based on said rendering value metric, one or more of said media files for rendering.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0021] For a better understanding of the nature and objects of various embodiments of the invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings, wherein:
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DETAILED DESCRIPTION OF EMBODIMENTS OF THE INVENTION
Introduction
[0070] Many recently developed products such as cellular phones, portable digital assistants (PDAs) and other personal communications devices include capabilities such as enhanced memory, external memory slots, and other technologies to allow a user to expand the device's functionality by adding additional software and/or hardware.
[0071] One example is the popular line of Blackberry devices developed by Research in Motion (RIM) that in current incarnations provides wireless voice and data connectivity, wireless web browsing, IEEE 802.11 (WiFi) connectivity, as well as wired connections, such as through a USB port on to a PC or other device. Successive versions of devices such as the Blackberry typically feature increasing processor capability and memory storage capacity and connectivity, with further potential for increasing the memory capacity through addition of memory storage devices such as Secure Digital (SD) cards or other plug in memory technologies.
[0072] Slacker, Inc. (Slacker), the assignee of the instant application, has developed technology, including the technology described herein and in the related applications to provide user personalized delivery of media content. In particular, in various embodiments, content may be delivered to a portable device through a portable wired or wireless device, a desktop device such as a PC, or through other wired or wirelessly enabled devices or systems.
[0073] In typical embodiments disclosed in the related applications, a dedicated portable media player or similar device is described for providing the user tailored media content. Moreover, Slacker currently provides several commercial implementations of such a dedicated portable media player through retail and online stores, including a device denoted as the G1 and a second generation device denoted as the G2.
[0074] In addition to providing media content through a personalized device such as the G1 or G2 devices, it may be further desirable to provide similar or analogous functionality, as well as, in some implementations, additional capabilities, through a multi-purpose portable device such as a cellular phone, PDA, Blackberry, or other multi-purpose device. For purposes of brevity, this class of devices are also denoted herein as a portable device or mobile device. Within the scope of the present invention, such a portable or mobile device may comprise a cellular phone, PDA, Blackberry, or other multi-purpose communications device, as well as in some implementations a desktop computer or other fixed location device having similar communications, processing and storage capabilities.
[0075] In one exemplary embodiment, an implementation of the present invention is tailored specifically to the functions and capabilities of Blackberry portable devices; however, such an embodiment is described herein for purposes of illustration, not limitation. It will be apparent to one of skill in the art that other embodiments within the spirit and scope of the present invention may be provided on other types of portable devices having equivalent or similar functionality.
[0076] In one or more embodiments, a digital media content reception and playback device (hereinafter also denoted as a device or a player) is capable of receiving content over intermittent connections and organizing and sequencing the content into a program that leaves a listener with the impression that traditional programming is being delivered, but which nonetheless accommodates the listener's specific preferences and may be customized and tailored dynamically to user preferences. Content may be created, managed, and/or provided by a content management system including one or more servers configured to receive user information as well as content and content requests, store content, manage content, customize content, distribute content via wired or wireless channels, and provide other related management and distribution functions. Such a content management system and any associated servers or other components is also described herein simply as the server for purposes of brevity.
[0077] In one embodiment, the device leverages the expertise of professional content programmers that acquire and filter a broad base of relevant content and define the rules that determine the mix and sequencing of content to be played on the device. Thus, the user is freed from the difficult task of acquiring content and creating playlists.
[0078] In typical embodiments the device will be configured to filter incoming content for transmission errors and discard content that contains artifacts that would be perceived by the user. Thus the ability to render pristine content is preserved even when the device is in areas with poor or no reception.
[0079] In some embodiments the device comprises a personal digital audio player for use in and out of automotive or other mobile environments. While this embodiment is described hereinafter in terms of audio playback, it will be apparent to those skilled in the art that the invention is equally applicable to photos, graphics, images, video or other types of multimedia content.
[0080] Alternately, in some embodiments the device comprises a portable device, such as a cellular phone or PDA. In these embodiments, the same or similar functionality may be provided on a general purpose device rather than on a dedicated personal digital player.
[0081] In some embodiments the device may be configured to dock in an automobile or other vehicle. When the device is docked in an automobile, it may be connected to a satellite antenna that is capable of receiving a unidirectional broadcast of audio content and data.
[0082] Additionally, the device may be configured with built-in wired or wireless capabilities using networks such as those based on IEEE standard 802.11 (also known as Wi-Fi), or other local or wide area networks capable of providing connection to wireless networks. Those skilled in the art will readily appreciate that the invention is not constrained to any particular type of network connection or client server configuration. Many recently developed portable devices such as PDAs and cellular phones include this type of wireless capability which may facilitate various embodiments of the present invention.
[0083] In some embodiments the device may be configured to dock or otherwise connect with home or office based systems such as personal computers or other devices capable of networking, or with home entertainment or similar systems.
[0084] Additional aspects of the invention are also contemplated as further described herein and illustrated in the accompanying Drawings.
Operational Overview of Example Embodiments
[0085] Operation with Unidirectional Connectivity
[0086] In typical unidirectional embodiments, when the device is operating with a unidirectional connection as it typically is when receiving content over a satellite link or in some cases over a wireless network, the device receives content that is broadcast on the connection, with content typically originating from a server or servers that are part of a content management system. In accordance with one aspect of the invention, the device compares the content against one or more station profiles and decides whether to keep the content or whether to discard it. In essence, the device decides if the content is of interest to its user, based on a set of user preferences, and stores the content of most interest for playback. One aspect of the present invention relates to systems and methods for implementing decision processes for selecting, storing, and playing content and is described in detail in the sections that follow in relation to Inventory Management.
[0087] The process of receiving, analyzing, and caching or discarding content typically takes place independently of device playback. The device will continuously receive and process incoming content so long as it is sufficiently powered and has an operational connection. In typical embodiments, the device is configured to be capable of simultaneously playing back content from the cache while receiving and processing new content into the cache.
[0088] Operation with Bidirectional Connection
[0089] In typical bidirectional embodiments, when connected to an associated content broadcasting service with a bidirectional connection, the device is configured so that it can transmit its preferences to a content management system so that only content of interest is provided and downloaded to the device. This is done by either fully or partially offloading the Inventory Management function to the server side of the connection (where the device is part of the client side). This type of implementation may be implemented via a cellular connection, such as a cellular phone data connection or other type of cellular connection. Alternately or in addition, this functionality may also be implemented using a wireless LAN or WAN connection, such as via an IEEE 802.11 (Wi-Fi) connection or other wireless network connection.
[0090] In a preferred embodiment, the device transmits its station profiles to the server and receives a prioritized list of content to download. The device downloads the content in priority order. The list is prioritized so as to maximize the improvement to the device's inventory should the connection be lost before all tracks are downloaded.
[0091] Playback Operations
[0092] In typical embodiments, whether or not connected, the device can play the content in its cache. The cached content may be organized such that the device's algorithms can efficiently generate playlists that approximate the crafted song sequences created by professional radio programmers. Professional radio programmers may be used to support the device population by categorizing the content transmitted to the device into stations and station categories. The radio programmers may also specify the rules used by the device to sequence the content for a given station. This may be done in conjunction with the content management system, with the information being input, stored, processed, and output by one or more servers or other data storage and distribution elements.
[0093] The user may then access these sequences on the device by selecting the station by name or preset button, similar to the way a user selects a station on a traditional car stereo or satellite radio receiver. In addition, however, the user may also be provided with options and selections to customize the station and interact with playback order in a way that is not possible using traditional broadcast receivers. Embodiments of these processes are further described and illustrated below.
[0094] Playback Features
[0095] Because the device may be configured to select the next song for playback independently of the broadcast stream, each device can customize playback order according to the preferences of its owner or user. For example, some of the unique features of the device that are not possible with traditional radio receivers may include: [0096] Ability to skip content. If the user does not like the current song, they may skip to the next song on the station. [0097] Ability to replay content. The user may skip backwards to replay songs. [0098] Ability to pause content. The user may pause the currently playing track. [0099] Random access to content. The user may seek forward or backward through the content. [0100] Ability to ban content. If the user does not like a particular song, artist, or other content characteristic (composer, commentator, etc.) they may ban the content from the device. Content matching the banned characteristics will no longer be played on the device. [0101] Ability to save favorites. If the user hears a song they like, they may save it as a favorite. Favorites can be stored in a special folder or playlist for future access. [0102] Ability to bias station playback towards certain content. The user may adjust station knobs or sliders to bias the track selection towards songs with certain attributes. Examples of station slider controls include (but are not limited to): [0103] Newer.Math.Older [0104] Harder.Math.Softer [0105] Popular.Math.Obscure [0106] Favorite.Math.Non-Favorite [0107] Ability to create user tailored stations. While most stations can be created by professional radio programmers, users that are so inclined can create their own stations using these same tools or variants thereof [0108] Very large station catalog. While a limited number of stations are supported through the unidirectional channel, users that update their players via bidirectional channels can have access to a very large catalog of stations. Potentially, this catalog can contain stations created by the user community as well as stations created by programming professionals. This can also include content published by Really Simple Syndication (RSS) including audio-blogs or podcasts. [0109] Other unique features and functions are also contemplated as further described herein.
Physical Architecture
[0110] Attention is now directed to
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[0113] Those skilled in the art will appreciate that it is possible to realize a wide range of additional embodiments of systems in accordance with the invention using a variety of hardware platforms as well as hardware, software, and network configurations.
Software/Firmware Architecture
[0114] Aspects of the present invention are related to playback and content management on the device. Before describing embodiments of algorithms used for playback sequencing and inventory management, a set of core objects used in a preferred embodiment are described below and illustrated in
[0115] PlayerContextThe parent object that implements the overall player behavior.
[0116] StationAs described herein, a Station is a content channel analogous to a terrestrial radio station. The user may store one or more favorite stations as presets on the device to optimize their ability to access the channel. The user will have access to the broader catalog of all available Stations through the device. The Station holds the settings/customizations that are used to bias the content cached or played on the station (sliders) as well as the engine used to sequence the Station's content (Clock).
[0117] StationProfileAs described herein, a StationProfile is a definition of the rules and settings used to assemble a station. A set of StationProfiles is loaded onto the device. Some settings in the StationProfile may be customized by the device user. Such customization may involve, for example, setting sliders in accordance with user preferences. In one embodiment the station profile includes the current biases (as set by sliders) towards selecting content based on Popularity, Energy (hard/smooth), Favorites, and Age. Providing a setting to control whether or not certain types of content will be permitted to be played enables an alternate form of customization to be effected.
[0118] StationProfiles for a core set of stations are typically created and maintained by professional radio programmers. These station profiles may be transmitted on either the bidirectional or unidirectional links to update the profiles in the device from time to time.
[0119] Optionally, users may create their own custom station profiles (typically using an application external to the device, such as a web based application, but devices may also be configured to allow users to create simple stations on the device through user interfaces). These profiles would typically be loaded and provisioned through the bidirectional connection. A StationProfile includes the definition of the Clock and the Buckets that comprise the Clock that will be used on the device.
[0120] The StationProfile may be thought of as a set of rules or instructions for creating a station or a serialization of the Station and its associated objects. In one embodiment, the StationProfile is an XML document. In an alternative embodiment, the StationProfile is a more compact binary format with a corresponding parsing schema. Other embodiments of StationProfiles based on any of a variety of data formatting and storage methods may also be used.
[0121] ClockAs described herein, a Clock is utilized in sequencing content. In one embodiment content for a station is categorized. For example, songs that are the current hits and are getting the most airplay might be categorized as Current songs. Content that was formerly a Current song, but is fading in popularity might be categorized as Recurrent. Content that is introduced for variety might be categorized as Library.
[0122] The Clock is an ordered list of these categories (called Buckets) used to create a song sequence. To create a sequence, a song is chosen from the first Bucket in the Clock, followed by the second Bucket and so on until the last Bucket is reached, whereupon sequencing continues by returning to the first Bucket. In practice, the creator of a Station may define as many Buckets as desired and sequence them as they see fit.
[0123] BucketAs described herein, a Bucket is a category of content used in Clock sequencing as described above. In typical embodiments two types of buckets, SongBuckets and RuleBuckets are utilized. SongBuckets are buckets for which songs are explicitly categorized. That is, a BucketId attribute is associated with the song (i.e., by a content programmer) that categorizes the song explicitly into the Bucket with that matching identifier.
[0124] RuleBuckets categorize content by scoring one or more attributes of the song against the Bucket's rules. For example, a RuleBucket might select content that is older than 1975 and in the Hard Rock genre.
[0125] A further specialization of the SongBucket is the HeavyRotation bucket. A HeavyRotation bucket is a bucket whose songs are designed to repeat at a given rate. Most buckets will implement logic to avoid the repetition of songs to ensure variety. HeavyRotation buckets contain the new, hot songs that are desirable to repeat so long as they are still new and hot.
[0126] HeaderAs described herein, a Header is content metadata that is used to describe the attributes of the content/song. A Bucket manages its inventory by maintaining a list of Headers. Set forth below is a table containing the type of information included within an exemplary Header of a given media file.
TABLE-US-00001 TABLE 1 Exemplary Header Information SOF 0xAA55AA55 4 byte Number of Number of frames comprising the music file and 2 byte Frames including the header(s) Data bytes in last Number of data bytes in the last frame 1 byte frame Opcode 0x0Data 1 byte Version The version number of this header format 1 byte Format Flags 0x01 = Display as Classical Track 1 byte 0x02 = Multipart 0x04 = Can Overlay Ads 0x08 = Can Overlay Information SongId The Song Id used for song separation rules 4 byte unsigned integer PerformanceId The Id of the performance used for content 4 byte management unsigned integer LicensorId The Id of the content owner (i.e. record label) 4 byte unsigned integer Song Name The length in bytes of the song name that follows 2 byte short Length integer Song Name UTF-8 encoded song name Song Name Length bytes ArtistId The Id of the featured artist 4 byte unsigned integer Artist Name The length in bytes of the artist name that follows 2 byte short Length integer Artist Name UTF-8 encoded artist name Artist Name Length bytes Composer Name The length in bytes of the composer name that 2 byte short Length follows integer Composer Name UTF-8 encoded composer name Composer Name Length bytes AlbumId The Id of the album associated with the track 4 byte unsigned integer Album Name The length in bytes of the album name that follows 2 byte short Length integer Album Name UTF-8 encoded album name Album Name Length bytes Release Year The year of the original release of the song 2 byte short integer Popularity Relative measure of song popularity 2 byte short integer` Style Length Number of Style, Style Fit pairs to follow Byte Style Id of a style associated with this song 2 byte short integer Style Fit Relative strength of style association 2 byte short integer Additional Style, Style Fit pairs Bucket Length Number of Bucket, Date pairs to follow Byte Bucket Id of a radio programming bucket 2 byte short integer Date Date the song was programmed into the bucket as 4 byte seconds since Jan. 1, 1970 unsigned integer Additional Bucket, Date pairs Energy 1 or 0-4 value representing energy level of the Byte track Multipart Length Number of Offset, Type, Name triples to follow Byte Offset Multipart offset 4 byte unsigned integer Offset Type 0 = Audio Chapter 1 = Play Once Intro 2 = Play Always Intro 3 = Play Once Outtro 4 = Play Always Outtro 5 = Album Art [if not in mp4 container] Part Name Length in bytes offset name to follow 2 byte short Length integer Part Name UTF-8 encoded part name (for audio chapters only) Additional parts Padding or Piggyback data to fill frame CRC CRC checksum on the frame contents 4 bytes
[0127] AttributeAs described herein, an Attribute is a logical name/value pair embodying a fact or piece of metadata about the content. The Header stores Attributes. For efficiency of transmission and storage, attributes may be stored in a fixed layout in the Header or stored as Id,Value pairs or ClassId, Id, Value triples. In the latter case, ClassId serves to specify the identifier namespace for Id so that multiple, overlapping identifier spaces can be used.
[0128] RuleAs described herein, Rules serve to combine Attributes and other derived information (for example, the last time the track was played) in order to form scores. Scores are ultimately used to determine playback order and priority during inventory management. Specializations of Rules include SequenceRules for scoring Headers based on the history of matching artists, albums, or tracks in the Sequence; AttributeRules for scoring Headers based on attribute matching; as well as RuleSets for combining a set of Rules into a single score. Other specializations of Rules may also be used.
[0129] RuleSetAs described herein, a RuleSet executes a set of rules and combines their scores in a specific way. There are specialized RuleSets for combining SequenceRules into sequence scores (SequenceRuleSet) and for combining AttributeRules into attribute scores (AttributeRuleSet).
[0130] MediaFileAs described herein, a MediaFile is the content actually rendered by the media player to affect playback of the content.
[0131] SequenceAs described herein, a Sequence is the list of content already played and in the queue to be played. The Sequence is examined to implement rules to limit repetition.
[0132] SequenceElementAs described herein, a Sequence Element is an element stored in a Sequence. Binds a Header with the timestamp when it was played for use with time-based SequenceRules.
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Processing States
[0134] State transition diagrams of embodiments of the device as shown in
[0135] In the description that follows embodiments of state diagrams as illustrated in the associated figures are described. The program execution associated with the various state diagrams are typically implemented on one or more modules within the device, such modules typically including computer hardware, software, firmware and/or combinations of these elements. The computer software is typically stored on a computer readable medium such as memory and includes instructions configured to be executed by one or more processors. It is noted that, while the operations associated with the figures include events and states shown in the figures and described in the associated written description, it is apparent that other events and states including fewer, more, or different events and/or states than those shown in the figures are within the spirit and scope of the present invention. Accordingly, the state diagrams shown in the following figures are provided for purposes of illustration, not limitation.
Player States
[0136] Attention is now directed to
[0140] As shown in
User Interface Handling States
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TABLE-US-00002 TABLE 2 Event Processing State Event Handling New State Stopped Play Send Play event to Player thread. Update Playing display for Playing state. Playing Stop Send Stop event to Player thread. Update Stopped display for Stopped state. Playing Skip Skip handling. See Skip Playing Playing Ban Ban handling. See Banning Tracks Playing Processing Playing Save Save handling. See Saving Favorites Playing Processing * Station Slider Update the corresponding slider settings for Unchanged Update the current stations. See <insert reference> Playing Progress Update track progress indicator Playing Playing NewTrack Update display with current track info Playing * NewChannel Stop Player, change channel, update Playing display, Start Player * * Update the display with current UI view Unchanged, Changes UI Sub-states
Wireless (Bidirectional) Processing States
[0142] State diagram 700 of
Antenna Processing States
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[0144] In a preferred embodiment, the AU is implemented as a docking station that the device plugs into, for example, when the device is in a car. As shown in
[0145] Once authenticated, thread execution may proceed to a Connected Idle state 840. In this state a Data Available trigger event may transition execution to an Update Data state 850 wherein a data file or files may be provided, after which execution may be returned to Connected Idle state 840. Likewise, track or other content availability may be signaled by a Track Available Trigger to transfer execution to Add Track state 860. In this state tracks or other content may be added, with execution then returned to Connected Idle state 840. The Connected Idle state may also allow for a transition to Not Connected Idle state 820 based on a disconnection signaled triggered by a user input, timeout, or other event.
Playback Processing
[0146] Playback processing concerns the implementation of various processes that are related to the User Interface and Player State Diagrams previously described. In the description that follows embodiments of processes as illustrated in the associated figures are described. These processes are typically implemented on one or more modules within the device, such modules typically including computer hardware, software, firmware and/or combinations of these elements.
[0147] The computer software is typically stored on a computer readable medium such as memory and includes instructions configured to be executed by one or more processors. It is noted that, while the processes associated with the figures include particular stages shown in the figures and described in the associated written description, it is apparent that other processes including fewer, more, or different stages than those shown in the figures are within the spirit and scope of the present invention. Accordingly, the processes shown in the following figures are provided for purposes of illustration, not limitation.
Start Station
[0148] Attention is now directed to
[0149] As shown in
Stop Station
[0150] Referring now to
Skip
[0151] Skip handling is typically triggered by a user interface request to skip the current track. In typical embodiments, the device will allow users to skip certain tracks. However, the device logic must enforce certain business rules such as only allowing users with a specific tier of service to skip tracks, applying certain limits on the number of skips, or preventing users from skipping certain content such as advertisements.
[0152] Referring now to
[0153] Alternately, if the track is both skippable and the user is allowed to skip the track, playback of the track may be skipped by transferring execution from stage 1130 to a next track stage 1170 wherein the next playable track may then be played/rendered (an implementation of the next track stage is further shown starting at stage 1210 as shown in
Next Track
[0154] Turning now to
Add To Sequence
[0155] Adding a track to a sequence is a core process in the playback processing logic. In a typical embodiment, this logic is driven by a clock object that orchestrates buckets to select the next track. As described previously and further detailed below, clocks are ordered, sequential, and cyclical lists of buckets. However, there are two special cases of clocks worth noting for alternate embodiments: a Dynamic Clock dynamically chooses the next bucket based on special purpose bucket sequencing logic, and a Trivial Clock contains a single bucket from which the next track is always chosen.
[0156] By scoring semantics convention, the Clock allows buckets to provisionally decline to return a track. If the track returned by a Bucket Selection process scores less than 0.0 (i.e., by convention is an undesirable track), the bucket is skipped. However, if all buckets return tracks that score less than 0.0, the highest scoring track (denoted as the Best Worst Track) is returned.
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Select Track from Bucket
[0158] Select Track from Bucket is a process by which the best track is selected from a bucket. Selection involves scanning the bucket for the best scoring track. There are obvious performance optimization schemes for scanning an entire bucket for the best scoring track; however the maximum size of a bucket is typically assumed to be small enough that these are likely to be of small benefit, and therefore a simplified process 1400 as shown in
[0159] When there are significant differences in the quality of tracks available to be selected, that is, the available tracks have a wide range of scores, it is desirable to choose the best track. In typical embodiments, it is generally considered a bad idea to ration the best tracks by mixing in poorer tracks; however, such an approach may be employed in some embodiments. In an exemplary embodiment, front-loading the sequence with the best tracks is considered preferable for at least the following reasons: [0160] 1. Additional good tracks may be received before the next bucket selection. [0161] 2. The user may end the session or switch to a different channel at any time. [0162] 3. The scores of tracks change as the session progresses and previously played good tracks become sufficiently rested to be repeated.
[0163] It is also considered desirable that the scoring methodology not be so rigid that the sequence becomes deterministic or is perceived as such by the user. For this reason, a random noise component may be added to the scores to reduce the likelihood of this perception. It is noted that the description of certain preferred embodiments defines certain conventions for scoring. These are designed to create semantic relationships between the scores by defining conventions relating to the meaning of the scores. It will, however, be apparent to those skilled in the art that other scoring conventions are possible assuming they preserve a consistent interchange between the different score types.
[0164] For instance, one example of a useful semantic relationship consistent with the invention involves the relationship between minimum and target rest to content fit. In particular, when a track has already been played, it may be rested for a certain minimum number of plays (i.e., a minimum rest period) before becoming eligible to be played again. Upon expiration of a target rest period, the track is deemed to be sufficiently rested to be nearly as eligible for playback as a track that has never been played. Content fit determines how well a track matches the ideal track and is typically a function of the sliders in SongBuckets or a combination of the slider scores and the rule scores in RuleBuckets.
[0165] Continuing with this example, a balance between content fit and sequencing rules like rest may be achieved by defining a convention (i.e., a semantic relationship) applicable to the meaning of the scores. In general, a content fit score of 1.0 may be used to define a perfect fit. A sequence score of 1.0 or less means the track is not eligible for play, as does a combined score of 0.0. Relating this convention to rest, a track gets a large negative sequence score after having been just been played. This decays to 1.0 as the rest approaches target and further decays toward 0.0 as the rest exceeds the target.
Playback Scoring
[0166] Attention is now directed to
[0167] As shown in
Bucket Fit Score
[0168] The Bucket Fit score determines how well the track fits the category of the Bucket. In a typical embodiment, for SongBuckets, all songs assigned to the bucket score a perfect value of 1.0. All songs not assigned to the Bucket score the minimum value of 0.0. This is also denoted herein as a Boolean membership. For RuleBuckets, the fit score is the result of executing the AttributeRules against the song attributes. The fit score for RuleBuckets, by convention, is a score between 0.0 (worst fit, not in Bucket) to 1.0 (best possible fit).
Slider Score
[0169] Slider Rules allow the user to customize the station. When applied during sequencing, they bias track selection towards tracks with certain attributes. When applied during Inventory Management (as discussed in successive sections), they bias the addition of new tracks towards tracks with certain attributes. As the name implies, Slider Rules may be conceptually or actually connected to sliders or knobs in the User Interface. Exemplary slider implementations are further described in the related applications incorporated herein by reference. In particular, U.S. Provisional Patent Application Ser. No. 60/886,283 describes exemplary embodiments of such sliders.
[0170] In typical embodiments Sliders are associated with a Station, although the effects of the slider may differ depending on the type of Bucket. The following exemplary sliders bias track selection in a preferred embodiment: [0171] Newer.Math.Older [0172] Harder.Math.Softer [0173] Popular.Math.Obscure [0174] Favorite.Math.Non-Favorite
Slider Attributes
[0175] By convention, slider attributes are defined as either Raw or Cooked. A Raw slider attribute contains an actual value, typically associated with the attribute. For example, AlbumReleaseYear is a Raw slider attribute that contains a value based on release date between approximately 1950 and 2006.
[0176] Cooked slider attributes return a value between (by convention) 1.0 and 1.0. For example, a Popularity Cooked slider attribute is shown below in Table 3.
TABLE-US-00003 TABLE 3 Embodiments of Slider Attributes Popularity Cooked Slider Attribute Value Extremely popular, smash hit 1.0 Very popular 0.75 Well known 0.50 Somewhat known, not quite obscure 0.0 Not well known, deep, obscure 1.0
[0177] Raw slider attributes may be converted into cooked slider attributes by rescaling them using a Rescaling Rule that includes a Min, Max, and Median parameter. This allows, for example, for an 80's radio station to define newer as 1989 and older as 1980, with 1985 as median (the term median is used herein not in the strict mathematical sense, but to denote a value that should map to the center of the slider rangethat is, a value that is neither old or new for the given station). For a simple linear interpolation (allowing the Median to not be centered between Max and Min) we have:
[0178] For raw sliders values v where v>Median:
v=(vMedian)/(MaxMedian)
[0179] For raw slider values v where v<Median
v=(vMedian)/(MedianMin)
[0180] This puts the 1.0 score on Min, the 0.0 score on Median, and the 1.0 score on Max, with a linear interpolation for values between these points. However, a linear interpolation does not account for outlying data points beyond Min and Max. Such points will exceed the 1.0 . . . 1.0 convention or will cease to be differentiated if capped. In some embodiments, a better way of cooking sliders during rescaling may be to apply an exponential decay function such that the cooked scores decay towards 1.0 as the raw score increases from the Median towards the Max. Symmetrically, scores decay towards 1.0 as the raw score decreases from the mean toward the min.
[0181] For values>=Median:
v=1.0e.sup.v
[0182] And for values<Median:
v=1.0+e.sup.v
[0183] As shown here, v represents the raw slider value and v is the cooked slider value. is the decay constant that controls the speed of decay. We can determine a suitable value for by determining how close we want the score to be to 1.0/1.0 for values of Max and Min. We can determine this in terms of how many half-lives of decay should remain at the Max/Min. For example, 3 half-lives is a decay of 0.5+0.25+0.125=0.875 leaving a residual decay of 0.125 for scores that out lie the max.
t.sub.1/2=(MaxMedian)/n.sub.half-lives
[0184] Half-life is related to as follows:
[0185] Re-arranging for :
[0186] Substituting into the above we have:
[0187] Similarly:
[0188]
Slider Scoring Rule
[0189] Once the slider attribute is Cooked, that is, converted to a standard range (1.0 . . . 1.0 by convention), it can be converted into a slider score using the default slider scoring rule:
Score=1.0(SliderWeight/2.0)+((CookedAttributeValue*SliderWeight)/2.0)
A more generalized version of this formula is:
Score=MaxScore(DynamicRange/2.0)+((NormScore*DynamicRange)/2.0)
Where MaxScore is the maximum possible score. DynamicRange is the maximum delta from MaxScore, such that MinScore=MaxScoreDynamicRange. NormScore is a normalized score in the range of 1.0 to 1.0. Certain properties of this formula make it desirable for a slider application. These include: [0190] Generating scores in the 1.0-0.0 range that match desired conventions. [0191] The SliderWeight can be modulated along with the position of the slider to control the magnitude the attribute value contributes to the score. [0192] A SliderWeight of 0.0 generates a uniform 1.0 score for all attribute values, which is ideal for a centered slider. [0193] The negation of a slider weight inverts the scores in a symmetrical way. That is, the score order produced by a SliderWeight of 1.0 will be exactly reversed with a SliderWeight of 1.0. The score deltas in both lists will be symmetric.
Combining Multiple Sliders
[0194] If multiple sliders are in effect simultaneously, they may be combined to form a single score. In one embodiment, the average of all slider scores for which the SliderWeight is not 0.0 is taken (if all sliders are weighted 0.0, the slider score is set to 1.0). In some circumstances, a weighted average of the slider scores or other techniques to balance the contribution of unequal sliders may also be used. However, this approach should not be necessary if the attribute scores are well balanced across different types of sliders.
Sequence Rules
[0195] Sequence rules are used to score a candidate track for bucket selection against the current sequence. In one embodiment, sequence rules generate scores according to the following conventions:
TABLE-US-00004 TABLE 4 An Embodiment of Sequence Rules Scoring Score Semantic <1.0 Disqualifies track for playback >=1.0 and <0.0 Technically eligible for playback, although suboptimal to the degree of the negative score. 0.0 Track is fully eligible for playback. Nothing in the sequence history discourages the track from being played >0.0 Not typically used for Sequence Scores. May indicate a HeavyRotation track that is overdue for playback.
[0196] Recall that the Clock may be configured to skip a Bucket if the best track scores<=0.0. By convention, the best possible Bucket/Slider fit is 1.0, so the sequence score must be greater than 1.0 to render an otherwise perfect track playable.
Artist Sequence Rules
[0197] Artist Sequence Rules can be configured to typically generate a 0.0 or 1.0 score. The default Artist Sequence rule is parameterized by the number of times an Artist can appear in a sub-sequence, and the size of the sub-sequence to check. If the artist associated with the track being scored appears more than the given number of times in the interval, the rule returns 1.0. Otherwise the Artist Sequence Rule returns 0.0. Intervals may be specified in terms of time or number of tracks. Number of tracks is generally preferred for simplicity of implementation and better overall functionality (i.e. the device won't play an artist back-to-back regardless of how much time elapses between tracks). However, time based rules may be required to implement the sequencing rules specified by the Digital Millennium Copyright Act (DMCA) or by other statutory or regulatory content playback requirements.
Album Sequence Rules
[0198] Album Sequence rules are analogous to Artist Sequence Rules, except it is the Album associated with the track that is checked against the sequence. Album Sequence Rules are not typically used except in enforcement of DMCA rules or other statutory or regulatory requirements.
Track Sequence Rules
[0199] Track Sequence Rules are used to ensure that a track is not repeated too frequently. The term rest is used herein to denote the number of intervening tracks that are played between plays of a given track. Each Bucket has the notion of minimum rest and target rest. Minimum rest is the minimum number of tracks that must be played between plays of a track. Target rest is the ideal number of tracks that must be played between repetitions.
[0200] By convention, when a track has less than the minimum rest, its Track Sequence Score is less than 1.0. When a track reaches minimum rest, its Track Sequence Score is 1.0. As a track approaches target rest, its score moves towards 0.0. In typical embodiments it is desirable to heavily discourage the playing of tracks with less than minimum rest. Between minimum rest and target rest, there is a trade-off between optimal rest and best fitting track. Beyond target rest, the influence of the sequence score should wane, but there should still be a differentiation between played and unplayed tracks.
[0201] In an exemplary embodiment, to model this intended behavior, an exponential decay function may be used to decay the sequence score penalty towards zero. Exponential decay is a function where the rate of decay of a quantity is proportional to the amount of the quantity remaining. For a quantity N and decay constant we have:
The solution to this differential equation is the generalized function for exponential decay at time t where N.sub.0 is the initial quantity.
N(t)=N.sub.0e.sup.t
[0202] It is desirable to choose N.sub.0 and decay constant such that N(T.sub.MinimumRest)=1.0 and N(T.sub.TargetRest)=noise floor. The noise floor represents a score low enough that the random noise added to the scores to induce variety will dominate over the influence of additional rest. An exemplary approach begins by calculating how many half-lives are required between T.sub.MinimumRest and T.sub.TargetRest:
n.sub.half-lives=log.sub.2(|noise_floor|)
For example, if the noise floor is 0.0625, we need 4 half-lives to decay the score from 1.0 to 0.0625. The size of a half-life in number of tracks is can be determined as follows:
t.sub.1/2=(T.sub.TargetRestT.sub.MinimumRest)/n.sub.half-lives
Half-life is related to as follows:
Re-arranging for :
[0203]
Substituting into the above we have:
N.sub.0 can be determined as the initial score that will decay to 1.0 at T.sub.MinimumRest
N.sub.0=1.0.Math.2.sup.T.sup.
[0204] Having determined the values of N.sub.0 and based on constants from the track sequence rules associated with the bucket, track sequence scores for each track can be calculated. If the track has not been played, the track sequence score is 0.0. If the track has been played, the number of tracks since the last play can be counted and used as t in the track sequence scoring formula:
N(t)=N.sub.0e.sup.t
[0205] To ensure maintaining differentiation between played and unplayed tracks, a minimum sequence penalty for played tracks can optionally be introduced and used as a ceiling for sequence scores of played tracks.
TrackSequenceScore=MIN(MinimumPenalty, N(t))
In a typical embodiment, MinimumPenalty is preferably a function of MaxNoise; for example it can be set to MaxNoise/2.0. This ensures that the penalty of a played track, no matter the rest, is not washed out by the noise used to randomize the system. A particularly efficient way of computing rest for a track may be to keep a global variable that is incremented with each track played on the device. When a track is played, the value of the variable is recorded in the track header. Thus the rest is the difference between the current value and the value stored in the track.
Combined Scoring
[0206] The Fit, Slider, and Sequence scores are typically combined to generate a score that ranks the tracks in the Bucket for playback priority. Different combining rules may be applied. In an exemplary embodiment, for playback, different scoring may be used to rank the tracks for RuleBuckets and SongBuckets.
[0207] For RuleBuckets:
PlaybackScore=((FitScore+SliderScore)/2)+SequenceScore+Noise
[0208] For SongBuckets:
PlaybackScore=SliderScore+SequenceScore+Noise
That is, the FitScore and the SliderScore for Buckets are averaged to calculate fit, then the SequenceScore and Noise are added.
[0209] By convention, SongBuckets have no FitScore; all songs assigned to the Bucket are assumed equally fitting. That is, the Bucket fit is a Boolean or filtering function. For these buckets, the SliderScores are used to determine playback fit and add the SequenceScore and Noise.
[0210] For an exemplary embodiment, the main conventions for combined scores are as follows: [0211] 1. The combined score must be greater than 0.0 for the track to be eligible for play. If all tracks in the Bucket score<=0, the Bucket will be skipped. [0212] 2. Fit and Slider scores are combined to form a 0.0-1.0 score that reflects the relevancy of the content to the desired content programming for the Bucket. 1.0 is perfect fit, 0.0 is no fit. [0213] 3. Sequence scores are used to enforce repetition and other ordering rules. A sequence score of 1.0 or lower is used to make a track ineligible for play. [0214] 4. Noise is added to the combined score. Noise is a random value between +/MaxNoise/2.0. MaxNoise is a tunable system parameter, and represents the significance of score deltas. That is, a track that scores MaxNoise better than another track will always be selected ahead of the other track. However, tracks that score within MaxNoise of each other may be selected in either order (with a probability determined by the delta and the random distribution).
Inventory Management Processing
[0215] As described herein, Inventory Management processing concerns the implementation of the Add Track, Save, and Ban processing states shown in the state diagrams. In certain embodiments, Effective Inventory Management may be crucial to optimal operation, particularly with lower storage capacity devices. It may be less of an issue for higher capacity devices with large amounts of storage. However, limitations on the amount of content that may be cached (for example, as dictated by record label agreements) may make inventory management important for all device sizes.
[0216] The goal of inventory management is to optimize the storage utilization of the device for the stations in use.
Managing Service Content Inventory Concepts
[0221] In typical embodiments, Favorites and User Content are considered separate storage pools, because once the user saves a favorite or loads their own content the storage is deemed largely untouchable. That is, only the user can free this storage by explicitly removing items. The Service Content pool, on the other hand, is dedicated to providing the best possible enhanced radio experience and must optimize its use of storage autonomously. Basic concepts behind the managing of the service inventory are as follows: [0222] 1. The service storage pool will grow to the capacity of the device (for smaller capacity devices) or a fixed upper limit (for larger capacity devices). [0223] 2. Add Track processing from the connections fills the pool towards its upper limit (high water). [0224] 3. When enough tracks have been added to reach Inventory high water the worst tracks can be removed until inventory low water is reached.
Add Tracks Processing
[0225] Attention is now directed to
[0226] 1. The Bucket does not want the track [0227] a. The Bucket already has this exact same track [0228] b. The track does not meet the Bucket's criteria
[0229] 2. The Bucket has added the track (growing in size to do so).
[0230] 3. The Bucket has added the track by replacing one of its existing tracks: [0231] a. The Bucket replaced an older version of the same track [0232] b. The Bucket replaced a different track with this track
[0233] If some Bucket on some station adds the incoming track, the media file may then be stored on the device. If no Bucket on any station adds the track, the media file is discarded. In a typical embodiment, the device monitors available storage space using a high and low water mark model. Once storage usage reaches the high water mark, an operation to cull inventory is undertaken to bring storage utilization back down to the low water mark.
Eviction
[0234] HeavyRotation buckets typically contain the most popular and frequently played songs on standard stations. The bucket has a fixed maximum size that, combined with the significant station duty cycle, may yield a fairly high rate of individual song repetition. When new tracks are received into a full HeavyRotation bucket, old tracks must be removed from the bucket to make room for the newer tracks. Since the displaced track is still potentially very valuable to the station, the station can be programmed to allow tracks evicted from one bucket to be automatically assigned to a new bucket. If no eviction bucket is specified, the evicted track is removed (providing no other stations hold references).
[0235] In more detail, process 2100 may begin with an add track start stage 2110 based on reception of a new track. Execution may then proceed to a banned selection stage 2115 where an assessment is made as to whether the particular track or artist has been banned. If the track or artist has been banned, execution of the process is terminated at stage 2118 with the track being discarded. If the track or artist is not banned, a station may next be selected for examination at stage 2120, with the next available bucket examined at stage 2125. The bucket fit score of the track may be examined at stage 2130, and the score tested at stage 2135. If the score is less than zero, execution returns to the next bucket stage 2125. Alternately, if the score is greater than zero the track header may be added to the bucket at stage 2140, and tested to see if it replaces an earlier version of the header at stage 2142.
[0236] If there is an earlier version in the bucket, it will be removed at stage 2150 with execution proceeding to stage 2160. If not, the bucket may be tested for fullness at stage 2144 and, if full, execution proceeds to stage 2160. Finally, at stage 2146 if the bucket is not full and the bucket has an eviction bucket, the worst track header will be moved to the eviction bucket at stage 2152, with execution returned to stage 2160. If there is no eviction bucket execution proceeds from stage 2146 to stage 2154, where the worst track header is removed and execution proceeds to stage 2160.
[0237] At this point, a test is made at stage 2160 to determine if more buckets need to be tested. If so, execution proceeds to stage 2125. If no more buckets need to be tested for the current station, a test is made at stage 2170 to determine if additional stations need to be tested. If so, execution returns to stage 2120 to test the next station. Alternately, a test is made at stage 2172 to determine if any bucket wants the track and if not, the track is discarded at stage 2180. At stage 2173 a test is performed to determine if the service inventory has exceeded the capacity (or high water mark). If it has, the inventory may be culled at stage 2176 (an implementation of a cull inventory stage is further shown starting at stage 2210 as shown in
Inventory Culling
[0238] Attention is now directed to
[0239] In summary, in process 2200 a scan traverses all stations and buckets and scores each track based on an estimate of the eventual order of playback. If a track appears in more than one bucket, the largest of its scores may be assigned to the track. Note that since the score indicates the predicted next time the track will play, it is possible to manage inventory by removing all tracks with a score greater than a calculated threshold. The calculation should take into account the repetition of tracks in HeavyRotation buckets as well as tracks that appear in multiple buckets. This approach may be slightly more efficient (i.e. a heap is not required), but is less flexible in regard to the scoring algorithm.
[0240] Process 2200 is further described below, with additional details related to specific aspects further described following the overall process description. The process may begin at an inventory cull start stage 2210, with execution proceeding to a calculate duty cycles stage 2215. The current score for all files may initially be set at the lowest possible score at stage 2220, with each station successively examined, starting at stage 2225. For each station the buckets in the station are examined at stage 2230, with the headers in the examined bucket examined at stage 2235. The inventory score for the header being examined is determined at stage 2240. If the determined score is greater than the file's current score, the current score is assigned to the file at stage 2248. If not (i.e. if the current is less than or equal to the file current score) the file current score is retained with execution proceeding to stage 2250. Each header within the bucket are then examined based on a test at stage 2250, each bucket in the station are examined based on the test at stage 2255, and each station is examined based on a test at stage 2260. Once all stations and their respective buckets and headers have been tested, based on reaching the end of the stations at stage 2260, a delete tracks stage 2270 (an implementation of this stage is further shown starting at stage 2410 as shown in
[0241] Additional details of aspects of inventory management are further described below.
Scoring Tracks for Deletion
[0242] As noted above, in a typical embodiment, the overall strategy for Inventory Management is to rank each track according to its likely order of playback on the device. The tracks that are more likely to be played sooner are kept and the tracks that are likely to be played later are deleted. To score tracks, each track may be ranked in a bucket according to its probable play order within that bucket. Duty cycle is then accounted for with respect to both the bucket within the station and the station within the player to achieve a score that ranks all tracks within the device. The worst tracks can then be deleted until inventory levels are within a desired range. In an exemplary embodiment, the first step in this process is to calculate a forward-looking duty cycle for each station.
Calculating Station Duty Cycles
[0243] The available inventory for the device may be managed according to the predicted duty cycle for each station. Duty cycle for a station represents the percentage of total device plays attributed to the station. A goal is to calculate a forward-looking duty cycle for each station. The forward-looking duty cycle must adapt to changing patterns of usage. For example, if a user starts listening to a new station, the forward looking duty cycle for that station should increase upwards even if the actual duty cycle of the station over the life of the device is quite low. Put another way, the duty cycle should be adapted based on a weighted average of recent and longer term observations; simply measuring the long term observed duty cycles of each station creates a system that fails to adapt quickly to new patterns, whereas a system based entirely on short-term observations neglects the information provided by the device's longer term history.
[0244] In an exemplary embodiment, an adaptive strategy that varies the rate of adaptation based on the delta between short term and longer-term observations is employed. The goal is for the duty-cycle of a new station to increase relatively rapidly based on short-term observations, at the same time taking into consideration an extended number of observations to completely overcome the longer-term usage patterns of the device. In addition, a tunable constant may be required to allow the rate of adaptation to be controlled.
[0245] One such approach is to use an exponential decay function on the delta between the short-term and long-term observations. As noted previously, exponential decay is a function where the rate of decay of a quantity is proportional to the amount of the quantity remaining. For a quantity N and decay constant we have:
Integrating produces the generalized function for exponential decay at time t where No is the initial quantity.
N(t)=N.sub.0e.sup.t
Applying this technique to short and long term duty cycles we have
C.sub.t+1=(o.sub.t+1c.sub.t)+c.sub.t
Where C.sub.t+1 is the adapted duty cycle at time t+1, o.sub.t+1 is the observed duty cycle at time t+1 and C.sub.t is the adapted duty cycle at time t.
[0246]
Duty Cycle Renormalization
[0247] While short-term observations may provide a good predictor of future duty cycle, it may also be desirable to ensure that any station supported by the device is playable with a minimum allocation of inventory. To achieve this without disrupting the overall strategy of using duty cycle as the guide to inventory allocation, a minimum baseline duty cycle floor for all stations in the device may be set. The baseline duty cycle ensures that inactive stations get at least T.sub.s min tracks where T.sub.total represents the total number of tracks in the service.
c.sub.baseline=T.sub.s min/T.sub.total
To calculate the normalized duty cycles for active stations (those with predicted duty cycles>0), the calculation is started by allocating a duty cycle of c.sub.baseline to all stations (active and inactive). The residual duty cycle available for allocation to the active stations is then:
c.sub.residual=1.0(c.sub.baseline.Math.n.sub.stations)
Then, the residual duty cycle may be allocated to the active stations in proportion to the predicted duty cycle of each station:
c.sub.i=c.sub.baseline+(c.sub.i.Math.c.sub.residual)
A cap T.sub.s max on the number of tracks in a station may also be established, beyond which the extra inventory for a station provides negligible benefit. After ensuring that the duty cycle accounts for baseline inventory for all stations, we can re-apportion the excess from stations that exceed the cap. The duty cycle cap for any station is:
c.sub.max=T.sub.s max/T.sub.total
The duty cycle may be set to c.sub.max for any station with a duty cycle greater than c.sub.max. For u.sub.0 . . . u.sub.m1 representing the duty cycles below the cap we have:
u.sub.i=u.sub.i+(c.sub.max/m)
That is, the inventory excess is distributed equally among the m stations that are below the cap. The rationale is that additional inventory will have a larger positive impact on smaller stations (the reason for a cap), but these stations have less likelihood of being played. It may be assumed that factors cancel, therefore opt for an even reallocation. This technique can result in duty cycles greater than c.sub.max; a station just below c.sub.max gets an allocation of excess inventory that could push it over c.sub.max.
Ranking of Tracks in Buckets
[0248] As described above, it may be preferable that each Bucket ranks its tracks in the likely order that the tracks will be played as part of the inventory management process. By convention, algorithms used for ranking the tracks versus the bucket vary based on the bucket type.
Heavy Rotation Buckets
[0249] HeavyRotation Buckets are buckets of fixed maximum size to achieve a desirable repetition rate. HeavyRotation buckets may be ranked for inventory management by fit/slider score first and secondarily by programming date. Because HeavyRotation buckets are small in comparison to their duty cycle, they tend to stay mostly in inventory.
Library Buckets and Medium Rotation Buckets
[0250] For larger buckets (>10 tracks, target rest>100), the sequence score becomes more important in determining the value of the track to the bucket. However, there is a tradeoff between bucket fit and the sequence penalty associated with repetition.
[0251] Slider settings dynamically affect this relationship. A distinction can be made between saved/locked slider settings and those used to temporarily tweak playback order. In the former case, the station is desirably optimized for the particular slider settings by favoring inventory that matches the sliders. In the latter case, the slider settings apply to playback only, and do not affect the ranking of tracks within the bucket for inventory purposes. In the latter case we assume the sliders may well be in a different position in the future, so they are irrelevant for ranking deep into the bucket.
[0252] For locked sliders, a combination of slider score and bucket fit score (for RuleBuckets) may be used to determine the fit component of the inventory score:
[0253] For RuleBuckets:
InventoryScore=((FitScore+SliderScore/2)+InventorySequenceScore
[0254] For SongBuckets:
InventoryScore=SliderScore+InventorySequenceScore
[0255] The calculation of a sequence score may be based on estimating what the sequence score might be when the track is played. In an exemplary embodiment, the sequence penalty associated with a track in relationship to the fit score may be discounted. The same sequence scoring algorithms that are used for playback may be used, but they can be calculated for a future time/track interval. Here t represents the number of tracks into the future to calculate the sequence penalty. Nbucket is the number of tracks in the bucket.
For time-based rules (e.g., rules resulting from the requirements of the DMCA concerning the maximum number of times tracks for a given artist can be played in a given time period), t can be multiplied by average track length. The inventory sequence score is then calculated at t:
InventorySequenceScore=sequenceScore(t)
The sequence score should have a maximum value of slightly less than zero for tracks that have been played, but are well rested, and a uniform value of 0.0 for tracks that have not been played.
[0256] As an example, the sequence score for a track that has recently been played will be a large negative number as a consequence of the minimum and target rest factors discussed above. If in this example the value of t is 40, minimum rest is 30 and target rest is 50, the discounted sequence score will be between 1.0 and 0.0 according to the applicable equations set forth previously. The actual scores are 55.7 after being played (rest=1), and 0.25 with the t discount.
Calculating the Score
[0257] The bucket rank may then be combined with bucket duty cycle and station duty cycle to obtain a score that represents an estimate of an overall track playback order for the device. If r represents the rank of the track in the bucket (1 . . . n), let c.sub.station represent the predicted duty cycle of the station as described above, and let c.sub.bucket bucket represent the duty cycle of the bucket with respect to the station, that is, the number of times the bucket appears in the clock divided by the number of slots in the clock, this results in:
score=(r0.5)/(c.sub.station.Math.c.sub.bucket)
Deleting Tracks
[0258] Attention is now directed to
N*averageTrackSize>currentInventorySizelow WatermarkSize
may be done. Since tracks may be scored by estimated play order, by convention lower scores are better and higher scores are worse.
[0259] In an exemplary embodiment, a Min-Heap is used to efficiently accumulate the worst tracks. The process deletes each of the files in the Heap in worst to best order until the desired low water mark is achieved. Note that since the score indicates the predicted next time the track will play, inventory can conceivably be managed by removing all tracks with a score greater than a calculated threshold. The calculation must take into account the repetition of tracks in HeavyRotation buckets as well as tracks that appear in multiple buckets. This method may be slightly more efficient (i.e. a heap is not required), but is less flexible in regard to the scoring algorithm. In the described embodiment, this process may also be used to delete tracks that are no longer referenced by stations or playlists. As described previously, by convention a file will have a worst possible score from the initialization phase if it is not referenced by any station.
[0260] More particularly, the track deletion process 2400 illustrated in
[0261] If the user interface of a particular embodiment supports adding tracks from the service to user defined playlists, an additional pass is required to score the tracks that are referenced by playlists, but no longer referenced by stations. Each of these tracks can be given a best possible score to ensure that they are not removed.
[0262] An embodiment 2500 of a Scan Playlist process is illustrated by the flowchart of
Saving Favorites Processing
[0263] Attention is now directed to
[0264] As shown in
Checking Inventory Constraints
[0265] Checking inventory constraints is the process of determining if there is enough space left in the service to accommodate a reallocation of storage. In typical embodiments, the minimum space required to operate the service may be defined in terms of a few tunable and derived parameters as set forth in
[0266] In addition to tracks for the active stations, the service pool needs to reserve a minimum number of tracks for each inactive station that renders the station listenable as it transitions from an inactive station to an active station. This constant is denoted as T.sub.s min. Thus the minimum size of the services pool is:
T.sub.min=A.sub.min+(T.sub.s min*inactive stations)
However, this is the minimum size of the services pool at low water. Space should also be reserved to account for the difference between low water and high water.
Thus the device is full when
T.sub.totalT.sub.floatT.sub.min
A device full warning message may be issued when the device approaches this threshold:
T.sub.totalT.sub.floatT.sub.min+T.sub.warn
As noted above, when saving favorites or saving service tracks into user defined playlists, the service pool is decremented by one track. Therefore, the above constraints for T.sub.total1 should be checked before allowing the operation.
Shrinking the Services Pool
[0267] In a typical embodiment, the services pool is designed to grow to the device capacity or some preconfigured maximum for large capacity devices. To free excess services storage for other purposes, the high and low water marks may be adjusted, and an inventory cull may be performed. To free N bytes of space:
W.sub.low=W.sub.lowN
The number of tracks removed is approximately:
(W.sub.lowW.sub.low)/t.sub.size
The operation can be allowed if:
T.sub.totalT.sub.float((W.sub.lowW.sub.low)/t.sub.size)T.sub.min
Banning Tracks Processing
[0268] Referring now to
[0269] As shown in
[0270] In alternate embodiments, banning based on other criteria can be implemented in a similar or analogous fashion. Tracks that are marked as banned may be given worst possible rankings in their buckets when scoring tracks for inventory culling, and thus will be deleted on the next inventory cull cycle.
[0271] The banned lists may also be consulted for other functions, such as when an incoming track is received so that banned artists or tracks are not re-added to device memory.
Updating Metadata
[0272] In typical embodiments, both bidirectional and unidirectional connections can provide updated metadata and media files for tracks. The connection may send metadata only (i.e. the Header) or may send an updated Header+Media File combination. While in future implementations it may be desirable to optimize the handling of Metadata updates, it is envisioned that the simplest way of handling Metadata updates is to process the updated Header with an Add Track process, such as process 2100 as illustrated in
Adding New Stations
[0273] In typical embodiments, when the device is connected via a bidirectional connection the user will have the opportunity to add niche or custom stations that are only reasonable to populate across this connection type. When adding a new station, the inventory must be adjusted to accommodate the new station. The device must have room for at least an additional T.sub.smin tracks. If this is not the case, the user may be prompted to facilitate making room for additional stations by removing stations, favorites, or media files (i.e. mp3s, etc.).
[0274] In a typical embodiment a new station should receive a default initial duty cycle above and beyond the baseline, and predicted duty cycles should be re-calculated. (it is assumed that the user will listen to the newly added station). As tracks are added across the bidirectional connection and the high water mark is reached, inventory is freed according to the predicted duty cycles. See, for example, the process for culling inventory as is shown in process 2200 illustrated in
Connections Processing
[0275] Adding Tracks from Unidirectional Connections
[0276] In typical embodiments, as tracks are received from a unidirectional connection (i.e. a broadcast type connection), they are added to inventory using Add Tracks processing as is, for example, described in process 2100 shown in
Wireless (Bidirectional) Update
Station Refresh
[0277] In typical embodiments, when the device has a bidirectional connection to the broadcasting services/content management system, the device will attempt to obtain updates only for its active stations in priority order. Thus, the device can request targeted updates and utilize the connection only for tracks known to be of interest to the device. To obtain targeted updates, the device first re-calculates its predicted duty cycles as described above. The stations that have the largest negative delta between actual and predicted/allocated inventory are the first priority for update. The current inventory of the player relative to a station may be transmitted to the server along with the target inventory level for that station based on device capacity and predicted duty cycle. The server can then reply with an update to the station that may include the following information, as well as other information: [0278] 1. An updated Clock if the station definition has been changed on the server side. [0279] 2. Updated Headers for tracks currently on the device if metadata for those Headers has changed. [0280] 3. A list of additional tracks to download in priority order.
[0281] In response, the device processes the reply message by updating the station definition (if changed), and updating the Headers as indicated (see Updating Metadata above). The device then begins receiving/downloading each of the specified tracks in the order specified. Each track is added to the player as if it where received on a unidirectional connection (this may be done to ensure that the player is consistent in the face of adds from both connection types, simplifies implementation, and handles the case where received tracks are targeted to multiple stations).
[0282] Rather than download all tracks to update a single station, it may be preferable for the device to get updates for its other active/high-priority stations and download the highest priority tracks across all the station updates to ensure that all active stations get some updates before the connection terminates. Should the connection persist, all stations will have the opportunity to process their updates.
[0283] Attention is now directed to
Details of Embodiments of System Configurations and User Profiles
[0284] Some embodiments of the present invention address the need for a push model of content distribution uniting portable digital media players, car based media players, home based media players and personal computer based media players. In this model, user interactions with the interfaces of such players are used as a basis for modifying a user profile or personal media profile. The user profile defines favorite media channels, favorite categories or attributes of content within or across channels, custom channels and customizations to channels.
[0285] In typical embodiments the user profile is used to facilitate selection or filtering of content on behalf of the user. Thus the user need only express their preferences to access content that is tailored to their tastes. This requires much less effort than acquiring, managing and distributing a personal content library across multiple devices.
[0286] While some webcasters provide push systems for delivering content, including some with personalized profiles, the profiles and intelligence to apply them are centralized on the webcaster's servers. This requires that clients be continuously connected to the servers to access personalized content or to interact with their profile. Thus webcasting has very little penetration in portable players and automobiles where a broadband connection may not be present or may be intermittent at best.
[0287] To enable the user to receive and interact with personalized content streams across a variety of devices, in some embodiments of the present invention the user profile is synchronized between client and server elements and media profile driven selection logic distributed.
[0288] Accordingly, the systems and methods described in this section may be used to enable interaction with distributed profiles and clients so as to facilitate creation of a personalized, portable radio system. While an exemplary embodiment is described in terms of audio content, it should be clear that the invention applies equally well to audio/video media, images, or other types of multimedia content.
[0289] Referring now to
[0290] A Web Based Player 3101 is a media player that has a persistent connection to the Internet and accesses Radio Services 3105 via a web-services interface.
[0291] A Wireless Networked Player 3102 is a media player that connects periodically or opportunistically to wireless networks, for example, the IEEE 802.11 family of wireless networks. This client synchronizes content and personalization profiles while connected, and need not be connected while rendering personalized radio. This configuration is especially suitable for hand-held portable media players.
[0292] A Cellular Phone Based Player 3103 connects to Radio Services 3105 over a Cellular Network 3106. Because Cellular networks may be very busy during peak times but have excess capacity during off-peak hours, the Cell Phone Based Player 3103 client can synchronize content and/or personalization profiles during off peak hours, resulting in a more economical use of the network.
[0293] A Satellite Radio 3104 can utilize the content sequencing logic to de-couple the rendering of audio for the end-user from the reception of content from a Satellite 3108.
[0294] This allows the radio to build a cache of content during periods of good reception, and to play back cached content with no audible drop-outs due to loss of signal in non-real time. The caching of content on this satellite radio client means that the radio can support more channels than the bandwidth of the satellite connection could support if broadcasting in real-time.
[0295] The Satellite Radio 3104 may also have other connectivity to Radio Services 3105. For example, if the Satellite Radio 3104 additionally has an uplink to Radio Services 105 via an Internet, Wireless, or Cellular network connection, personalized user profile changes on the device can be synchronized back to the Radio Services 3105 and ultimately to other clients. Otherwise, the Satellite Radio 3104 can operate on a non-synchronized local profile, or can receive a personalized profile edited on other clients and transmitted across the Satellite link.
[0296] Referring now to
[0297] Content Sequencing Web Services 3203 support content refresh for clients that cache content, as well as next track requests for thin clients such as browser based players. The Content Database 3211 may be used to catalog the available content. Media Servers 3204 and Media Storage 3212 may be used to serve content in the form of digital media files, such as are described in the related applications, to clients. A Broadcast Scheduler 3205 decides which tracks should be sent across the satellite link to Satellite 3108 for broadcast to Satellite Radios 3104. Collectively, the web services are available across the Internet 3206 or connected Cellular Networks 3207.
[0298] Referring now to
[0299] A Profile Database 3210 stores end-user's Content Ratings and Preferences 3307, Station Settings 3308 and Play History 3309. In an exemplary embodiment, this data is expressed as one or more XML documents or trees (nodes). The Profile Database 3210 may store Station Definitions 3306 where the Station Definition is custom-made by the end-user. In some embodiments user customization information including Content Ratings and Preferences, Station Settings, Play History, and/or other user customization criteria may be stored in a common user profile in Profile Database 3210. In other embodiments, user customization information may be stored in one or more separate user profiles.
[0300] In some embodiments, user profiles may be synchronized between two or more types of clients, facilitating user profile updating and synchronization across multiple types of clients used by a particular end-user. For example, in some embodiments user profiles may be synchronized between a Web Based Player 3101 and a Wireless Networked Player 3102, Cell Phone Based Player 3103 or Satellite Radio 3104 so that the user profile information on all synchronized clients are updated to the most recent profile. Additional details of one embodiment of such synchronization are further described below with respect to a Sometimes Connected Player 3501.
[0301] Content Sequencer 3304 utilizes the Content Database 3211 in conjunction with the Station Definition 3306, Content Ratings and Preferences 3307, and Station Settings 3308 to create and maintain a sequence of radio tracks for a particular personalized radio station.
[0302] The Content Sequencer 3304 may be used by more specialized components to deliver various services to the clients. A Content Refresh Service 3301 may utilize the Content Sequencer 3304 to optimize the choice of tracks to download to clients. A primary specialization in one embodiment is that the Content Refresh Service 3301 typically does not choose tracks that are already in the client cache.
[0303] Content Sequence Service 3302 handles thin clients such as Web Browser based players that do not have their own Content Sequencer 3304. These clients simply request the next radio track for playback and then stream the indicated track. When the track finishes, the client requests the subsequent track to play, and so on.
[0304] Satellite Scheduler 3303 multiplexes the output of Content Sequencer 3304 for the stations that are broadcast on the satellite link. The Satellite Scheduler 3303 specializes the Content Sequencer 3304 output to optimize the utilization of the satellite link: content that is most likely to be played by the players and least likely to already be in the cache is prioritized.
[0305] Referring now to
[0306] As shown in
[0307] In alternate embodiments, the Web Based Player functionality may be embedded in a standalone software client application or hardware devices such as consumer electronics components for a home stereo or entertainment system. However, in this configuration, the Web Based Player is presumed to have a continuous, persistent network connection.
[0308] The Web Based Player 3101 interacts directly with the Profile Web services 3102 to store user preferences as they are indicated by the end user through the user interface of the player. The Web Based Player 3101 interacts directly with the Content Sequence Service 3302 to get the next track to play in response to various events triggered by the user interface or the underlying media player, for example a user initiated request to skip the current track or the a player report that the current track has finished. The Web Based Player 3101, especially in a web browser based incarnation, provides a convenient platform for the user to create and customize radio stations and generally manage preferences. The personal computer based web browser may have a large display, a keyboard, and a pointing device (e.g. mouse) to facilitate the management of personalized radio stations. However, as is discussed hereinafter, the present invention facilitates portability not achievable through the Web Based Player in and of itself
[0309] Referring now to
[0310] The Sometimes Connected Portable Device 3501 synchronizes profile data including Content Ratings and Preferences 3307, Station Settings 3308, and Play History 3309 while connected. In one embodiment the synchronization is bi-directional. That is, if the Profile Database 3210 has a more recent version of an element of the profile, it is copied onto the portable device 3501. If the portable device 3501 has a more recent version of an element of the profile, it is copied to the profile database. This synchronization may require merging, or the resolution of conflicting elements. In an exemplary embodiment, the Profile Web Services 3202 handles the merging and conflict resolution.
[0311] Once the portable device 3501 has synchronized the end-user profile elements, it can request a content refresh through the Content Refresh Service 3301. In an exemplary embodiment, the portable device 3501 sends its current inventory associated with the station to refresh to the Content Refresh Service 3301. The Content Refresh Service 3301 creates a priority ordered list of content for the device to download. The device 3501 then downloads the indicated content from a Media Server 3204. Optionally, the device 3501 may request the content from a Content Delivery Network 3401. The device uses the acquired content to supplement the given station. The device then repeats the process for the other stations.
[0312] In one exemplary embodiment, the stations are refreshed in order of need for content. That is, stations that are played often and lacking fresh content are refreshed first. Information about the share of device listening time associated with a particular station and the overall freshness of its content may be uploaded to the Content Refresh Service 301 in order to optimize the refresh process.
[0313] In one exemplary embodiment, the Station Refresh Service 3301 creates a sequence of tracks as would occur in the device if it had access to the entire Content Database 3211. The service then eliminates from the sequence any tracks that already reside in the player and returns the given sequence to the device as the list of content to obtain.
[0314] In an alternate embodiment, the Station Refresh Service 3301 analyzes the inventory for each station and each sub-category within a station and ensures that each category has sufficient content to render a forward sequence of tracks of a target length without undue repetition.
[0315] It will be apparent to one skilled in the art that the synchronization of the profile including Station Definition 3306, Content Ratings and Preferences 3307, Station Settings 3308 and Play History 3309, along with the transmission of current station inventory and usage, enables the Station Refresh Service 3301 to optimize the inventory cached on the device. This allows the Sometimes Connected player 3501 to obtain content during relatively brief periods of connectivity and to render quality radio sequences during relatively long periods lacking any connectivity.
[0316] Referring now to
[0317] As in the server implementation described in
[0318] The User Interface 3601 controls the playback functions of the media player, and can also be used to facilitate user editing of user profile information, such as the Station Definition, Content Ratings, Station Settings and/or other user customization parameters.
[0319] A Synchronization Module, such as Synchronization Engine 3604, may be included to manage synchronization. Synchronization Engine 3604 manages the bi-directional synchronization of the personalized profile entities, i.e. the Station Definition 3306, Content Ratings 3307 and Station Settings 3308, Play History 3309, and/or an other user customization information, where bi-directional connectivity is available. In some embodiments, Synchronization Engine 3604 may be configured to synchronize user profiles between two or more clients or two or more different types of clients.
[0320] The Content Inventory Manager 3605 handles the station refresh operation by connecting to the Content Refresh Service 3301. The Content Inventory Manager also handles removing content from the Content Database and local media store to make room for newer, fresher content.
[0321] In one exemplary embodiment, the Content Inventory Manager 3605 uses the Content Sequencer 3606 to rank the content in each station or station sub-category based on how soon the content is likely to be played. Content that is likely to be played soon is considered more important and will not be discarded. Content that is least likely to play is removed from the device periodically, as needed, to make room for incoming content from the content refresh operation or received over the satellite connection. Thus, Content Inventory Manager 3605 ensures that the content stored on the device is optimized over time.
[0322] Referring now to
[0323] Referring now to
[0324] In one exemplary embodiment, tracks received from satellite 3108 are added to the Content Database 3607 by the Content Inventory Manager 3605. Periodically, the Content Inventory Manager 3605 sweeps through the Content Database 3607, removing the tracks that are least likely to be needed as described above. In this way, the Satellite Radio 3801 optimizes its content to the stations and preferences set by the user.
[0325] In some embodiments the Satellite Radio 3801 will be configured to connect to the Radio Services 3105 via other networks to synchronize user profiles and/or receive content. For example, if the Satellite Radio 3801 connects periodically to bi-directional networks such as 802.11 wireless connections, Cellular networks, or wired network connections, the satellite radio will synchronize its profile data and content as described above for Sometimes Connected Portable Devices, such as in conjunction with Synchronization Engine 3604.
[0326] However, Satellite Radio 3801 is not required to establish bidirectional connections and participate in profile data synchronization or Content Refresh Service 301 interactions. In some embodiments, all user profile information such as custom station definitions, preferences, and settings comprising the personalized profile remain local on satellite radio 3801.
[0327] One example implementation of a dedicated portable music player as provided by Slacker and denoted as the G2 is illustrated in
System Configuration for Exemplary General Purpose Device Embodiments
[0328] As noted previously, in some embodiments of the present invention, functionality as described herein may be implemented on a general purpose device, such as a cellular phone, PDA or other general purpose device. Examples of one implementation of the present invention on a BlackBerry device is shown in
[0329] As shown in
[0330] In addition, system 4100 may include a personal computer (PC) 4130, which may be a desktop, notebook or laptop type computer, or other similar or analogous fixed or mobile device. In typical embodiments, PC 4130 comprises a desktop, notebook, laptop or netbook computer running an operating system (OS) such as Microsoft Windows, MAC OS or Linux. PC 4130 is configured to have connectivity to the Internet 4150, such as via a router 4138 (or other Internet access device), which may be integral to PC 4130 or may be a separate device or application.
[0331] System 4100 also includes a Content Provisioning System 4120. Content Provisioning System 4120 is typically configured to store and deliver media content, such as audio tracks, associated metadata, video, artwork or other information. This may be implemented with one or more computer server systems as well as data storage components such as internal or external databases, or other data storage systems as are known or developed in the art. For example, various embodiments of a content provisioning system 4120 are described previously herein, with these embodiments configured to store content and deliver content to system users either based on a user personalization criteria, such as is stored in the content provisioning system, or by delivering non-personalized content that is selectively processed and stored for rendering at the user's device, such as portable device 4110. One commercial implementation of such a content provisioning system is provided by Slacker and accessible on the website www.slacker.com.
[0332] Portable device 4110 typically includes both wired and wireless networking capability. For example, in a typical embodiment a portable device 4110 includes cellular voice and data capabilities, which may be used to access a cellular network 4140, via wireless link 4142, to receive a variety of media content, including streaming media content as shown in
[0333] Portable device 4110 may also be configured to receive content via other wireless connections, such as, for example, Wi-Fi (IEEE 802.11) networks, Bluetooth networks or via other wireless local or wide area networks (such as IEEE 802.16 WiMax, etc.). In an exemplary embodiment, portable device 4110 is configured to send and receive data and information via Wi-Fi channel 4132 to router 4138, which then provides Internet access. Other mechanisms for facilitating Internet access to portable device 4110 may alternately be used.
[0334] In addition to wireless connectivity, portable device 4110 may also be configured for one or more wired connections, typically via a wired networking technology such as USB, Firewire, Ethernet and the like. In particular, as shown in
[0335] Portable device 4110 also includes elements such as processors, memory, displays, audio and video inputs and outputs and user interfaces. Various embodiments of these elements are further described below with respect to
[0336] In a typical embodiment, portable device 4110 is configured to receive, via channel 4142, streaming content that may include one or more predefined or user customized radio stations, such as those described in the related applications. In addition, cached content may alternately be rendered on the device, such as in situations where the user does not have wireless connectivity through channels such as channel 4132 and/or 4142, or when streaming content is costly due to high on-air service or data charges imposed by cellular or other wireless networks.
[0337] It is one object of the present invention to provide a portable device that includes the capability of rendering both streaming content and cached content so that a user has the option of selecting one or the other, depending on the user's location and wireless access capabilities. In addition, in some embodiments, switching between cached and streamed content may be dynamically performed to provide seamless content rendering.
[0338] Attention is now directed to
[0339] Portable device 4110 also includes a memory space 4220, which may be comprised of one or more memory modules or types of memory devices (such as, for example, SRAM, DRAM, flash, etc.), including physical memory on removable memory devices such as SD cards, memory sticks and the like. Memory space 4220 typically represents multiple digital data storage areas that are configured to store and retrieve information associated with the operating system (OS) 4226, application programs 4224, various types of data 4222, as well as cached media content 4112 (as also shown in
[0340] Applications 4224 further include one or more applications configured to select and provide, from the cached media content 4112, user personalized content delivery, such as one or more user personalized radio stations as are described in the related applications.
[0341] Attention is now directed to
[0342] The Sync Manager 4324 is configured to communicate with a Sync Interface module 4310 on portable device 4110 to facilitate receipt and storage of user tailored content. To further explain this connectivity, in typical embodiments of a user personalizable media/audio player (such as the G1 and G2 devices), functionality associated with sync manager module 4324 is incorporated within the player. For example, as described previously herein and in the related applications, a player may include functionality to receive a continuous or intermittent stream of media content and then selectively store the received content based on a user customization criteria, user profile and/or station profile. By using this approach, the player can discard received content that is not of interest to a particular user, continuously free up memory space for more relevant content (in situations where the cached memory is full), and then provide continuous user-personalized content playback at times when no new content is available.
[0343] With conventional radio broadcasts, music is lost as soon as a vehicle goes out of a coverage area or otherwise has coverage obstructed (e.g, in tunnels, buildings, etc.). Likewise, while some devices have the capability of recording incoming content for time shifting purposes, they still lack the capability of providing user customized content that is not merely time shifted. By receiving, selectively storing, and then selectively playing back content, a station can provide continuous user customized output in the absence of incoming content.
[0344] While devices such as the media player described above may be configured to include selective incoming processing of content directly on the devices, in some applications it may be more suitable to provide some of the processing on an external device such as PC 4130 and/or share the processing between the portable device 4110 and the PC 4130. Consequently, as shown in
[0345] For example, as shown in
[0346] Attention is now directly to
[0347] Returning to
[0348] Once connected, the PC 4130 accesses the portable device 4110 at stage 4420 to determine content requirements. For example, an application on the PC (such as the sync manager 4324 as shown in
[0349] Alternately, if the sync manager 4324 determines that the cached content is not up to date based on user personalization criteria (for example, if the user has selected a new radio station on the portable device, or the user otherwise wishes to change customized playback criteria), the sync manager updates the cache 4112 at stage 4425 by removing old or less relevant content (if the cache is full) or by adding new content to the cache, with the new content added based on the updated user customization criteria. Finally, at stage 4430 the portable device 4110 renders the updated cached content. This may be done by, for example, the user selecting a newly updated radio station for playback on the portable device.
[0350] Attention is now directed to
[0351] If one or more of the streamed stations is not a station associated with the cached content (i.e., if the user has selected particular radio stations for cached content, with associated cached content stored in the device, such as in cache 4112), the user may then be provided with an interface to select, for cached playback, the streamed station. Information associated with the selected station, such as a station profile or other user customization criteria, may then be stored on the portable device at stage 4530. If the portable device 4110 is connected to a PC, cached content associated with the newly selected station may then be transferred to the portable device 4110. Alternately, if the portable device 4110 is not connected to a PC, a connection may be established at stage 4535 to facilitate a cache transfer. Finally, at stage 4540, the portable device 4110 may be updated with new cached content, such as was described previously with respect to
[0352] In one embodiment, portable device 4110 may include a cache me now feature. In this implementation, a user may be provided with one or more streaming stations, along with an option to select a streaming station to be cached now. When the user selects this option, content associated with the streaming station may be loaded into the cache, and/or configuration information allowing later caching upon PC synchronization, may be provided. In this way, a user may be allowed to sample one or more streaming stations and then select stations of interest for simultaneous or future caching.
[0353] Attention is now directed to
[0354] Alternately, in some embodiments, context may be switched automatically upon detection of a triggering event. For example, if streamed content coverage drops out, or is otherwise unavailable and/or coverage is limited or intermittent, unavailable from a particular carrier, or for other similar reasons, the portable device 4110 may be configured to dynamically switch to cached content based on this triggering event. In one embodiment, cache 4112 includes content stored for an equivalent station to the one received via the streaming connection. If the streaming connection drops out, the portable device 4110 may switch to playback of cached content providing similar radio station content. Likewise, if the cached content becomes old (such as, for example, by not being updated by synchronization of the portable device 4110 with the PC 4130), context may be switched from caching to streaming at stage 4625. Additional details of context switching are shown in
[0355] Attention is now directed to
[0356] An embodiment of PC seeding is further illustrated in
[0357] In other embodiments, the PC seeded application may be configured to execute in whole or in part from the memory space of the portable device 4110. For example, the PC's processor(s) may execute the seed application directly from a memory on the portable device. This may be facilitated by providing a memory mapped connection to the portable device 4110's memory at stage 4840, with the program then executed by the PC at stage 4842. In a typical embodiment, the seed application is a configuration application that provides synchronization to the portable device from a content provisioning system 4120. In this way, content on the portable device can be updated from any PC 4130 having Internet connectivity, without having to separately download and install a program on PC 4130.
[0358] In various embodiments additional related or associated features may be provided. For example, in some implementations the portable device 4110 may be secured to a particular PC or PCs 4130, such as by using a shared key or other encryption schemes.
[0359] Some aspects of the present invention may be embodied in the form of computer software and/or computer hardware/software combinations configured to implement one or more processes or functions of the present invention as described and illustrated herein. These embodiments may be in the form of modules implementing functionality in software, firmware, and/or hardware/software/firmware combinations. Embodiments may also take the form of a computer storage product with a computer-readable medium having computer code thereon for performing various computer-implemented operations, such as operations related to functionality as describe herein, on one or more computer processors. The media and computer code may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well known and available to those having skill in the computer software arts, or they may be a combination of both.
[0360] Examples of computer-readable media within the spirit and scope of the present invention include, but are not limited to: magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROMs, DVDs and holographic devices; magneto-optical media; and hardware devices that are specially configured to store and execute program code and/or data, such as application-specific integrated circuits (ASICs), programmable logic devices (PLDs) ROM and RAM devices, Flash devices, and the like. Examples of computer code may include machine code, such as produced by a compiler, and files containing higher-level code that are executed by a computer using an interpreter. Computer code may be comprised of one or more modules executing a particular process or processes to provide useful results, and the modules may communicate with one another via means known in the art. For example, some embodiments of the invention may be implemented using Java, C#, C++, or other programming languages and software development tools as are known in the art. Other embodiments of the invention may be implemented in hardwired circuitry in place of, or in combination with, machine-executable software instructions.
[0361] The foregoing description, for purposes of explanation, used specific nomenclature to provide a thorough understanding of the invention. However, it will be apparent to one skilled in the art that specific details are not required in order to practice the invention. Thus, the foregoing descriptions of specific embodiments of the invention are presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the invention to the precise forms disclosed; obviously, many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain the principles of the invention and its practical applications, they thereby enable others skilled in the art to best utilize the invention and various embodiments with various modifications as are suited to the particular use contemplated.
[0362] It is noted that in various embodiments the present invention relates to one or more processes such as are described and/or illustrated herein. These processes are typically implemented in one or more modules as are described herein, and such modules may include computer software stored on a computer readable medium including instructions configured to be executed by one or more processors and/or associated process steps or stages. It is further noted that, while the processes described and illustrated herein may include particular steps or stages, it is apparent that other processes including fewer, more, or different stages than those described and shown are also within the spirit and scope of the present invention. Accordingly, as noted previously, the processes and associated modules shown herein are provided for purposes of illustration, not limitation.
[0363] Some embodiments of the present invention may include computer software and/or computer hardware/software combinations configured to implement one or more processes or functions associated with the present invention such as those described herein. These embodiments may be in the form of modules implementing functionality in software and/or hardware software combinations. Embodiments may also take the form of a computer storage product with a computer-readable medium having computer code thereon for performing various computer-implemented operations, such as operations related to functionality as describe herein. The media and computer code may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well known and available to those having skill in the computer software arts, or they may be a combination of both.
[0364] Examples of computer-readable media within the spirit and scope of the present invention include, but are not limited to: magnetic media such as hard disks; optical media such as CD-ROMs, DVDs and holographic devices; magneto-optical media; and hardware devices that are specially configured to store and execute program code, such as programmable microcontrollers, application-specific integrated circuits (ASICs), programmable logic devices (PLDs) and ROM and RAM devices. Examples of computer code may include machine code, such as produced by a compiler or other machine code generation mechanisms, scripting programs, PostScript programs, and/or other code or files containing higher-level code that are executed by a computer using an interpreter or other code execution mechanism.
[0365] Computer code may be comprised of one or more modules executing a particular process or processes to provide useful results, and the modules may communicate with one another via means known or developed in the art. For example, some embodiments of the invention may be implemented using assembly language, Java, C, C#, C++, scripting languages, and/or other programming languages and software development tools as are known or developed in the art. Other embodiments of the invention may be implemented in hardwired circuitry in place of, or in combination with, machine-executable software instructions.
[0366] The foregoing description, for purposes of explanation, used specific nomenclature to provide a thorough understanding of the invention. However, it will be apparent to one skilled in the art that specific details are not required in order to practice the invention. Thus, the foregoing descriptions of specific embodiments of the invention are presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the invention to the precise forms disclosed; obviously, many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain the principles of the invention and its practical applications. They thereby enable others skilled in the art to best utilize the invention and various embodiments with various modifications as are suited to the particular use contemplated. It is intended that the following claims and their equivalents define the scope of the invention.