Abstract: Methods and system for presenting a user with multimedia digital content available to and having a high correlation of potential viewing interest to the user, comprises determining which multimedia assets are available to the user; ranking the available multimedia assets as a correlation between the user's interests and demographic information and metadata associated with each multimedia asset. Higher ranking and relevance of each respective multimedia asset is indicative of a higher likelihood of viewing interest to the user. The ranked and available multimedia assets are presented to the user on an interactive display screen, where the higher ranked multimedia assets are featured more prominently to the user on the interactive display screen. The user is then able to take further action with respect to each presented multimedia asset.

Abstract: The addition of relative term positions, temporal positions, and segment identifiers to an inverted index allows for temporal and phrase queries of multimedia assets. Segment identifiers enable any search results to be examined in context. The system makes advantageous use of Lucene's binary payload functionality to store temporal data and segment identifiers as additional binary data for each term instance in the inverted index. The payloads are made up of three variable-length integers, which account for twelve extra bytes of metadata, which are stored for each term instance. A content database on a Master/Administrator server node provides the indexes for search into content in response to user events, returning results in JSON format. The search results may then be used to locate and present content segments to a user containing both requested search term results and the time location within the multimedia asset in which the search term(s) is found.

Abstract: The present disclosure relates to systems and methods for identifying advertisement breaks in digital video files. Generally, an advertisement break identification module receives a digital video file and generates an edge response for each of one or more frames extracted from the video file. If one of the generated edge responses for a particular frame is less than a predefined threshold, then the module identifies the particular frame as the start of an advertisement break. The module then generates further edge responses for frames subsequent to the identified particular frame. Once an edge response is generated for a particular subsequent frame that is greater than the threshold, it is identified as the end of the advertisement break. The video file may then be manipulated or transformed, such as by associating metadata with the advertisement break for a variety of uses, removing the advertisement break from the video file, etc.

Abstract: The present disclosure relates to systems and methods for classifying videos based on video content. For a given video file including a plurality of frames, a subset of frames is extracted for processing. Frames that are too dark, blurry, or otherwise poor classification candidates are discarded from the subset. Generally, material classification scores that describe type of material content likely included in each frame are calculated for the remaining frames in the subset. The material classification scores are used to generate material arrangement vectors that represent the spatial arrangement of material content in each frame. The material arrangement vectors are subsequently classified to generate a scene classification score vector for each frame. The scene classification results are averaged (or otherwise processed) across all frames in the subset to associate the video file with one or more predefined scene categories related to overall types of scene content of the video file.

Abstract: Method, systems, and computer program products for synchronizing text with audio in a multimedia file, wherein the multimedia file is defined by a timeline having a start point and end point and respective points in time therebetween, wherein an N-gram analysis is used to compare each word of a closed-captioned text associated with the multimedia file with words generated by an automated speech recognition (ASR) analysis of the audio of the multimedia file to create an accurate, time-based metadata file in which each closed-captioned word is associated with a respective point on the timeline corresponding to the same point in time on the timeline in which the word is actually spoken in the audio and occurs within the video.

Abstract: A system for utilizing metadata created either at a central location for shared use by connected users, or at each individual user's location, to enhance user's enjoyment of available broadcast programming content. A variety of mechanisms are employed for automatically and manually identifying and designating programming segments, associating descriptive metadata which the identified segments, distributing the metadata for use at client locations, and using the supplied metadata to selectively record and playback desired programming.

Abstract: A system for replaying a broadcast sports event using a video on demand or personal video recording system. Metadata is created that subdivides the original broadcast into segments, and associates descriptive information with each segment. Playlists that specify an ordered subsequence of the sequence may be selected and used to present a variety of expanded or condensed versions of the sporting event to a viewer. Navigation controls including segment lists, specially formatted screen displays, and special functions under the control of a user-operated remote control, facilitate the interactive selection and control of the presentation.