Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.

Methods, systems, and apparatuses for audience metric determination are described herein. An audience segment may be targeted for delivery of content. A clustering algorithm may be used to categorize a quantity of users or devices into subsets based on a propensity to consume, present or output a particular type of content, and a quantity of time to output the particular type of content. A weight may be assigned to each subset based on its relevance to other subsets, such as based on data variance, e.g., on a distance to a midpoint of a specific subset of the subsets. An index parameter may be determined for the datasets, e.g., based on each weight for each subset, and data may be generated that reflects a ranking of content delivery spots for delivery of content to the audience segment.

The user can respond to a media segment wherein the media segment may be associated with a schedulable event. Software on the device can then schedule the event into an electronic calendar system, and/or may use data associated with the media segment. At the appropriate time, the electronic calendar system may notify the user of the scheduled broadcast and/or event.

Systems and methods are provided herein for receiving a request from a user to access a video that is scheduled for transmission, simultaneously to a plurality of users, beginning from a scheduled start time. The request is received after the scheduled start time the transmission is performed by a linear service to which the user subscribes. In response to receiving the request, the systems and methods may generate for display the video to the user, and may receive, during display of the video, a command from the user to start playback of the video over from the beginning. In response to receiving the command, the systems and methods may identify a non-linear service to which the user subscribes that offers a non-linear copy of the video, and may play back the non-linear copy of the video from the beginning.

A computer-implemented method of using Linear, DVR, and VOD video viewing activity data as input to a data translation processor which prepares that viewing activity for more efficient downstream processing by translating detailed values to aggregated values according to analyst defined translation rules in preparation for ingestion by a MapReduce Framework with the result that the MapReduce Framework needs to process less data in order to create analytical studies of second-by-second viewing activity for program, channel, house, device, viewer, demographic, and geographic attributes. The source data may be extracted from a database defined according to the Cable Television Laboratories, Inc. Media Measurement Data Model defined in “Audience Data Measurement Specification” as “OpenCable™ Specifications, Audience Measurement, Audience Measurement Data Specification” document OC-SP-AMD-101-130502 or any similar format. An analyst can use Hadoop to run more studies in less time with less hardware thus gaining greater insights into viewing activity at lower cost.

The present invention discloses a home infotainment system having function of non-contact imaging-based physiological signal measurement. In the present invention, an image-based physiological signal (IBPS) measuring device is integrated with a television, and is configured for capture at least one image frame of a user who is watching the television. As such, after detecting detects a face portion from the image frame, the IBPS measuring device is able to subsequently extract at least one physiological signal from the face portion. Consequently, after the physiological signal is applied with at least one signal process by a display processor of the television or the IBPS measuring device, physiological indices of the user are hence calculated, and are subsequently applied with data processes of data storing, data transmitting, and/or displaying the physiological indices by a form of graphs, or diagrams, and/or numeric values.

In one aspect, a method includes (i) accessing broadcast-schedule data associated with a channel; (ii) using the accessed broadcast-schedule data to identify an upcoming content-modification opportunity on the channel; (iii) responsive to identifying the upcoming content-modification opportunity on the channel, identifying a content-presentation device tuned to the channel; and (iv) causing supplemental content to be transmitted to the identified content-presentation device, to facilitate the identified content-presentation device performing a content-modification operation related to the identified upcoming content-modification opportunity on the channel.

Technologies are disclosed herein for selecting one or more content instances of a plurality of content instances for display on a head unit of a vehicle. The content instances correspond to a location of a vehicle and are received by the head unit. The head unit obtains vehicle specific information from memory of the head unit. Based on the vehicle specific information, the head unit selects the one or more content instances using a set of criteria for determining which, if any, content instances to display. Selection of the one or more content instances using the set of criteria may involve consideration of information associated with individual instances of the plurality of content instances. The selected one or more content instances are displayed on a display of the head unit.

The exemplary embodiments relate to implementing a mechanism that is configured to select and insert a video advertisement into a video stream that is to be provided to a user device by a streaming service. This may include receiving a request for a video stream from a user device. In response to the request, transmitting a first portion of the video stream to the user device and determining that second a portion of the video stream is to include multiple video advertisements. One or more video advertisements may be selected from a database that includes a set of video advertisements that were previously removed from a further video stream. The one or more video advertisements may then be inserted into the video stream. The second portion of the video stream is then transmitted to the user device.

The present disclosure relates to devices and methods for personalizing channel parameters for streaming content to a client device by dynamically adjusting channel parameters in response to learned user preferences. The devices and methods may receive context information from a client device and may send a rank and reward call to a reinforcement learning system for a recommendation for a value of the channel parameters. The rank and reward call may include the context information, a user vector, an item vector and a reward function error. The reinforcement learning system may use the information provided in the rank and reward call to the provide a recommendation for the value of the channel parameters. The devices and methods may use the recommendation to set the value of the channel parameters to stream the content to the client device.