A computing system receives a training data set that includes a first subset of labeled events and a second subset of unlabeled events for an event type. The computing system generates an event model configured to detect the event type and classify the event type by actively training the event model. The computing system receives a target game file for a target game. The target game file includes at least tracking data corresponding to players in the target game. The computing system identifies a plurality of instances of the event type in the target game using the event model. The computing system classifies each instance of the plurality of instances of the event type using the event model. The computing system generates an updated event game file based on the target game file and the plurality of instances.

A method for dynamic content filtering includes accessing, by a processing unit, a media content that includes several content portions. The method further includes determining a rating tag associated with each content portion from the media content, and a user profile of a user requesting the media content to be rendered. The user profile contains a permission level for the user. The method further includes filtering the content portions from the media content based on the permission level, wherein, in response to the rating tag of a particular content portion exceeding the permission level in the user profile, filtering out the particular content portion. The method further includes rendering content portions that were not filtered out.

In some embodiments, a method receives a message that identifies an asset being viewed on a video service at a timestamp. The message is associated with a profile identifier and a plurality of messages are received for the profile identifier while using the video service. The method determines a channel identifier for a channel in which the asset is offered during the timestamp and determines whether a channel change occurred based on the channel identifier and a prior channel identifier determined from a prior message in the plurality of messages. When the channel change has occurred, the method stores the channel identifier and timestamp for the profile identifier in a data structure, wherein a list of channels is generated by querying the data structure to determine a set of channel identifiers and timestamps for the profile identifier.

Methods, systems, and computer-readable media for generating videos with characters indicating regions of images are provided. For example, an image containing a first region may be received. At least one characteristic of a character may be obtained. A script containing a first segment of the script may be received. The first segment of the script may be related to the first region of the image. The at least one characteristic of a character and the script may be used to generate a video of the character presenting the script and at least part of the image, where the character visually indicates the first region of the image while presenting the first segment of the script.

The playback of video content upon a display is enhanced through the unobtrusive presentation of extrinsic data upon the same display. A video content feature is rendered on a display. A quantity of extrinsic data relevant to a current time in the video content feature is determined based at least in part on viewing history of a user. A graphical element presenting at least a portion of the extrinsic data is rendered on the display while the video content feature is also being rendered on the display.

Aspects of the subject disclosure may include, for example, facilitating access to a synopsis of a missed portion of a media program, identifying subject matter in a segment of content in the media program that has not been presented, determining a particular time for presenting the summary according to the subject matter in the segment of content, and initiating a presentation of the summary at the particular time. Other embodiments are disclosed.

The present disclosure provides a system and method for recommending dynamic, adaptive and non-sequentially assembled videos. The method includes reception of a set of preference data and a set of user authentication data. The method includes development of an interest profile of the user. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments and segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment and each logical set of mapped fragments. The method includes clustering of the one or more logical sets of mapped fragments and assembling of the one or more logical clusters of mapped fragments to obtain a set of assembled videos. The method includes recommendation of the set of assembled videos.

Methods, systems, and media for identifying abusive user accounts based on playlists are provided. In accordance with some embodiments of the disclosed subject matter, a method for identifying abusive content is provided, the method comprising: determining at least one feature associated with a playlist created by a user-generated channel; calculating a playlist score associated with the playlist based on a playlist classifier, wherein the playlist classifier comprises a function that maps the at least one feature to the playlist score; calculating a channel score associated with the user-generated channel based at least on the calculated playlist score; determining that one or more content items associated with the user-generated channel is to be demoted based on the calculated channel score, wherein the one or more content items comprises the playlist; and causing the one or more content items to be demoted.

A computing system automatically detects, in a sequence of video frames, a video frame region that depicts a scoreboard. The video frames of the sequence depict image elements including (i) scoreboard image elements that are unchanging across the video frames of the sequence and (ii) other image elements that change across the video frames of the sequence. Given this, the computing system (a) receives the sequence, (b) engages in an edge-detection process to detect, in the video frames of the sequence, a set of edges of the depicted image elements, (c) identifies a subset of the detected set of edges based on each edge of the subset being unchanging across the video frames of the sequence, and (d) detects, based on the edges of the identified subset, the video frame region that depicts the scoreboard.

A method and an apparatus for retrieving teleplay content is disclosed. The method includes: generating basic summary information corresponding to each teleplay based on basic information of entities of each teleplay; generating episode summary information corresponding to each episode of each teleplay based on episode data of each episode of each teleplay; establishing a teleplay graph database based on the basic summary information corresponding to each teleplay and the episode summary information corresponding to each episode; and feeding a playing portal for a target episode of a target teleplay corresponding to teleplay search information back to a user based on the teleplay graph database.