Abstract: Methods for providing contextual video recommendations within a video game are provided. In one aspect, a method includes executing an application that uses a rendering engine. The method also includes determining that a video recommendation threshold has been met. The method also includes providing a current contextual state of the application to a server such that the server selects a video from a plurality of videos based on the provided current contextual state and an index, wherein the index includes output from a vision model applied on the plurality of videos, and wherein the vision model is trained on footage generated by the rendering engine. The method also includes receiving a reference to the selected video from the server. The method also includes providing for display, via the reference, the selected video within a user interface of the application. Systems and machine-readable media are also provided.

Abstract: A system includes a media studio including a processor and a memory. The memory stores instructions executable by the processor. The processor is programmed to receive data indicating a type of event to be recorded, receive one or more media input items from one or more respective media devices, and generate a media output item based at least in part on the one or more received media input items, and further based at least in part on the data indicating the type of event to be recorded and one or more respective locations of the one or more respective media devices.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for recommending content based on user behavior tracking and analysis. Some embodiments operate by determining tracking data for a user indicating how the user interacted with a menu structure of a streaming media application. A group is selected from a plurality of user groups into which to group the user based on the tracking data, wherein each group comprises data from a plurality of users. A streaming media content recommendation is determined based on previous viewing patterns associated with the plurality of users of the selected group. The streaming media content recommendation is provided.

Abstract: A method receives a manifest for video requested by a client device. The manifest including links for different versions of the video for the client device to use to request segments of the different versions of the video based on conditions detected by the client device. A placeholder in the manifest is selected based on a configuration specifying the placeholder as a trigger to insert alternate content into the manifest. The method then selects a metadata payload based on the configuration specifying the placeholder and a source of the metadata payload and dynamically inserts the metadata payload into the manifest at a position based on the placeholder. The metadata payload is added with an identifier from the configuration that identifies the metadata payload to the client device. The manifest is outputted with the metadata payload for use by the client device while playing the video.

Abstract: The present disclosure provides a method for switching control modes of a smart TV, a device and a computer readable medium. The method comprises: collecting a user's first triggering operation when the smart TV set is in a first control mode; according to a preset switching operation corresponding to a first control mode, verifying whether a first triggering operation is a switching operation for switching the first control mode into a second control mode; if yes, switching the control mode of the smart TV set from the first control mode to the second control mode. The technical solution of the present embodiment may be employed to implement the switching of different control modes of the TV set so that at the same time, the smart TV set is only located in one control mode so that messy control of the smart TV set will not be caused, and the control efficiency of the smart TV set is effectively improved.

Abstract: A system includes a computing device including a processor and a memory storing instructions executable by the processor. The processor is programmed to establish, for a recording event, one or more respective communications channels between the computing device and each of one or more media devices; receive one or more media input items from the one or more respective media devices; receive data indicating at least one of a range of capture of the respective media input item relative to a location of the recording event, a quality of the respective media input item, an excitement level of the respective media input item, an identity of the respective media device, and an identity of an operator of the respective media device; and generate a media output item based at least in part on the one or more media input items, and further based at least in part on the data.

Abstract: Standard video (and audio) data are combined or blended with immersive video (and audio) data. The data may be collected together, and the standard video views may be a default or reflect a primary view or scene for certain content. The immersive video views may be adjacent or around the primary view, and are available for viewing based upon audience input. The data are blended temporally and spatially to synchronize and align them for virtually seamless transition between the standard video view and the immersive video views. Blending may be performed before distribution, after distribution, or some combination of these.

Abstract: Methods and systems for modulating an amplifier power supply to efficiently attain amplified RF output power with much lower power dissipation than existing amplifiers. In a cable television (CATV) network, a processor receives a signal to be amplified by an amplifier at a location remote from the processor. A bias point of the amplifier may be variably modulated based on peaks of an input signal to reduce amplifier dissipation.

Abstract: A digital broadcast receiving apparatus executing a function with a higher added value can include: a broadcast receiving unit configured to receive broadcasting data of broadcasting program contents and location information from a broadcast transmission path, a reference destination for obtaining data related to the broadcasting data being described in the location information; a communication unit configured to receive communication data of the program contents from the reference destination described in the location information via a communication line; a recording/reproducing unit configured to record and reproduce the broadcasting data of the broadcasting program contents received by the broadcast receiving unit; an outputting unit configured to output the broadcasting data of the broadcasting program contents reproduced from the recording/reproducing unit to external equipment; and a server function unit for external equipment.

Abstract: Methods and apparatus to measure exposure to streaming media are disclosed. An example apparatus includes a processor, and memory including machine readable instructions that, when executed, cause the processor to: extract a series of tags associated with media playing on a presentation device, different ones of the tags in the series of the tags embedded in the media at different temporal positions within a duration of the media; identify a first tag from the series of tags to report to a central facility, the first tag identified based on a temporal proximity of the first tag to an event associated with the media playing on the presentation device; and transmit the identified first tag to the central facility, other tags in the series of tags not being transmitted to the central facility.

Abstract: Methods and apparatus are disclosed herein that increase a match rate for over-the-top media. An example apparatus includes a signature generator to generate a first signature of a first portion of a first media element and an audience measurement interface to receive a second signature of media monitored by a panelist meter. The example apparatus further includes a media element analyzer to compare the first signature and the second signature, determine a number of hits associated with the first media element based on the comparison, and, when the number of hits meets a threshold, generate a third signature of the first media element, the third signature generated for a second portion of the first media element, the second portion greater than the first portion.

Abstract: A client determines that a user is attempting to access media program recommendations. In response to the determination, the client attempts to collect media program recommendations to be presented to the user. Media program recommendations may be derived locally by the client, by the client and a multimedia device locally connected with the client, by the client and one or more additional devices, etc. In some embodiments, in response to receiving a query from the client, one or more recipient devices or servers identify media program recommendations in a plurality of trending categories. The media program recommendations may be selected based at least in part on EPG data and audience research and measurement data. The media program recommendations collected by the client are presented to the user for further exploration. The client may be one of mobile phones, tablet computers, etc.

Abstract: A broadcasting signal reception device according to an embodiment of the present invention may comprise: a reception unit for receiving, through the broadcasting network, a broadcasting signal including a first component of a DASH content which can be received through a broadcasting network and a broadband network; a delivery module for de-capsulating the received broadcasting signal, outputting LCT packets transmitted through one or more LCT channels, and parsing signaling information used for acquiring segments corresponding to the first component of the DASH content included in the LCT packets; and a decoder for decoding the acquired segments.

Abstract: The examples provide a content item distributor computing system that is configured to determine characteristics of content providers and providing content items to certain categories of content providers. In one embodiment, the content item distributor receives a request from a content provider to receive content items and determines if a provided set of video content has a minimum number of viewers and meets a standard for upload content. In response to the determination, the content item distributor communicates a content item to the video content provider to present in conjunction with video content.

Abstract: A system and method for proof of play are provided. The system includes a video playing device that includes a display, a sensor, a transceiver and a processing unit. The display displays a video on a display surface, where the video displayed on the display surface has at least one frame. The sensor senses a displaying situation of the at least one frame on a specific location of the display surface as the display displays the video. The processing unit collects the displaying situation and controls the transceiver to send the displaying situation to a target device to determine whether the display has indeed displayed the video.

Abstract: Control information on a data broadcasting application for each delivery segment is distributed. An application service descriptor for each delivery segment is arranged into an MP table stored in a PA message on the side of a broadcast station. Each application service descriptor indicates information on one application type and priority of the application type. A receiver further selects a specific MH-AIT and data transmission message, on the basis of the priority for each application type, indicated with the application service descriptor, and a default AIT flag.

Abstract: Machine-learning based multi-step engagement strategy generation and visualization is described. Rather than rely heavily on human involvement to create delivery strategies, the described learning-based engagement system generates multi-step engagement strategies by leveraging machine-learning models trained using data describing historical user interactions with content delivered in connection with historical campaigns. Initially, the learning-based engagement system obtains data describing an entry condition and an exit condition for a campaign. Based on the entry and exit condition, the learning-based engagement system utilizes the machine-learning models to generate a multi-step engagement strategy, which describes a sequence of content deliveries that are to be served to a particular client device user (or segment of client device users).

Abstract: A method of adding advertisements to a video stream. The method includes storing for each of a plurality of advertisements, a plurality of versions of the advertisement including same advertisement content with different overlay indications of relative location of the advertisement in an advertisement session. Upon receiving an indication of a video stream, the method includes selecting advertisements for insertion into the video stream, selecting relative positions of the selected advertisements in one or more advertisement sessions in the video stream, identifying for each of the selected advertisements, one of the plurality of versions of the advertisement corresponding to the selected relative position of the advertisement in the one or more advertisement sessions, and providing an indication of the video stream with the identified versions in the selected relative positions.

Abstract: An online system receives content items from a third party content provider. For each content item, the online system inputs an image into a neural network and extracts a feature vector from a hidden layer of the neural network. The online system compresses each feature vector by assigning a label to each feature value representing whether the feature value was above a threshold value. The online system identifies a set of content items that the user has interacted with and determines a user feature vector by aggregating feature vectors of the set of content items. For a new set of content items, the online system compares the compressed feature vectors of the content item with the user feature vector. The online system selects one or more of the new content items based on the comparison and sends the selected content items to the user.

Abstract: A computer system, method, and computer-readable product for automatically generating a hierarchy of concepts described in a video using semantic concept matching that assists persons in searching for specific types of content within videos. A video segment is obtained, with the segment having a distinct running time with discrete information related to one or more topics within its content. The discrete information of the video segment is then parsed out and related to a predetermined relevant topic, and then one or more attributes for weighting each discrete information relevant topic within the video segment are determined. A hierarchy of concepts of the video segments is then created, based upon, at least, the weighting of the information topic within the running time of the video segment based upon the presence of the one or more attributes. Other information related to the video segment can also be used to modify the hierarchy.