H04H60/47

METHODS AND APPARATUS TO DYNAMICALLY GENERATE AUDIO SIGNATURES ADAPTIVE TO CIRCUMSTANCES ASSOCIATED WITH MEDIA BEING MONITORED
20190371357 · 2019-12-05 ·

Methods and apparatus to dynamically generate audio signatures adaptive to circumstances associated with media being monitored are disclosed. An example apparatus includes a signal selector to select a first signature scheme from among a plurality of signature schemes to generate monitored signatures for media being monitored by a meter. The first signature scheme is selected based on a circumstance associated with the media. The apparatus includes a signal generator to generate a first monitored signature from the media based on the first signature scheme. The apparatus further includes a communications interface to transmit the first monitored signature to a data collection facility.

Limiting candidate playlists in multi-shot scheduling system

A Multi-Shot Scheduling System chooses from multiple candidate playlists of positions to select a broadcast playlist. Candidate playlists are generated based upon scoring and selecting content items for the positions through the use of index values. Various embodiments of the Multi-Shot Scheduling System can select broadcast playlists for multiple groups of content and can provide different methods of controlling scheduling performance by restricting the range of candidate playlists from which the best playlist can be selected. the number of candidate playlists to be considered can be determined based on the number of positions in each playlist and a restriction requirement that sets a maximum index value assignable to playlist positions.

Creating customized programming content

A system for content presentation is disclosed. According to one embodiment, the system includes Input/Output(I/O) circuitry to receive an indicated location and an indicated one or more preferred sources of content. Memory stores scheduling information that includes a location information and date information associated therewith. A processor identifies at least one media segment for inclusion into a customized media programming stream based on (a) comparing the indicated location to the location information; (b) comparing the current date to the associated date information; and (c) comparing the indicated one or more preferred sources for content to the content source information. The processer assembles a customized media programming stream by adding the at least one identified media segment to the customized media programming stream. The I/O circuitry transmits the customized media programming stream for presentation on a user device.

AUTOMATED SCHEDULING OF MULTIMEDIA CONTENT AVOIDING ADJACENCY CONFLICTS
20190332252 · 2019-10-31 · ·

An automated media scheduling system selects a media item from a first category of media items to be scheduled during a transition period included in a first daypart of a first day by determining that a media item from the first category of media items is to be scheduled. The system selects a media item using a strict rotation performed in a first order, but then determines that scheduling item results in an adjacency conflict. The system establishes a second, different order of media items from the same category. Each media item in the category is tested in the second order, until an item with an adjacency conflict is found. That media item is scheduled in place of the previously selected media item. The system then schedules remaining time periods in the first daypart of the first day by performing the strict rotation in the first order.

Training machine learning models to detect objects in video data

Systems and methods are described for training machine learning models to detect objects in image or video data. A system may select a first sample set of frames from one or more video files. Indications of a location of an object of interest in each of at least two sample frames may be received, then the system may determine the location of the object of interest across a number of intermediary frames using a tracker. Annotation data may be stored identifying the objects of interest in the sample frames, and the annotation data may be used in training a machine learning model to identify the object of interest in subsequently provided image or video data.

Machine learning models for identifying sports teams depicted in image or video data

Systems and methods are described for identifying at least one sports team depicted in media content, such as image or video data. Features of the media content may be provided as input to a first set of classification models that are each trained to identify at least one type of scene associated with one or more sports, then features of the media content may be provided to a second set of classification models trained to identify at least one object associated with one or more sports. Once a sport depicted in the media content is determined based on the first and second set of classification models, the system may determine a team depicted in the media content based at least in part by comparing aspects of the media content to stored data associated with various teams that play the identified sport.

CONTENT BASED DYNAMIC AUDIO SETTINGS
20190265943 · 2019-08-29 ·

Audio processing systems and methods are configured to receive audio program content and to reproduce the audio program content in accord with at least one audio parameter. The audio parameter is stored with a relation to an identifier associated with the audio program content. The audio parameter may be later retrieved for reproduction of associated audio program content.

DYNAMIC EVENT SIGNALING
20190253739 · 2019-08-15 ·

A system for generating, transmitting, providing and/or receiving signaling.

Method and system for controlling a scheduling order of multimedia content for a broadcast

A scheduling order can be designated for the broadcast and playback of multimedia content (e.g., music, news, other audio, advertising, etc) with respect to slots within the scheduling order. The broadcast day is divided into dayparts having blocks of time and including multiple time slots. One of those time slots, a transition period, is adjacent to another daypart. The transition period may be scheduled using a different algorithm for adjacency scheduling to satisfy both horizontal and vertical adjacency requirements. The remaining slots for the schedule can be scheduled from one or more categories of media items associated with the block being scheduled.

System and method for sharing preset radio stations using a wireless network

Embodiments provide a vehicle comprising a wireless transceiver for transmitting a request for radio presets to a plurality of vehicles within a predetermined proximity of the vehicle; a processor for generating a list of local radio stations based on radio presets information received by the wireless transceiver and a user preference for prioritizing the stations; and an audio system for playing audio received from a selected one of the local radio stations. Embodiments also include a method in a vehicle comprising sending, via a wireless transceiver, a request for radio presets to a plurality of vehicles within a predetermined proximity of the vehicle; generating, using a processor, a list of local radio stations based on radio presets information received by the wireless transceiver and a user preference for prioritizing the stations; and playing, via an audio system, audio received from a selected one of the local radio stations.