Abstract: A computing system engages in digital image processing of received video frames to generate sport data that indicates a score and/or a time associated with a sport event. The digital image processing includes: (i) identifying a first frame region of the video frames based on the first frame region depicting a scoreboard; (ii) executing a first procedure that analyzes the identified first frame region to detect, within the identified first frame region, second frame region(s) based on the second frame region(s) depicting text of the scoreboard; (iii) in response to detecting the second frame region(s), executing a second procedure to recognize the text in at least one of the second frame region(s); and (iv) based at least on the recognizing of the text, generating the sport data. In response to completing the digital image processing, the computing system then carries out an action based on the generated sport data.

Abstract: A computing system identifies a media stream being received by a client, based on fingerprint matching conducted with query fingerprints generated by the client at a frame rate. The computing system then causes the client to increase the frame rate, in order to facilitate establishment by the computing system of synchronous lock between true time within the media stream and client time according to a clock of the client. The computing system then uses the established synchronous lock as a basis to map a true-time point at which a content revision should be performed in the media stream to a client-time point at which the client should perform the content revision. And the computing system causes the client to perform the content revision at the determined client-time point.

Abstract: A mobile device responds in real time to media content presented on a media device, such as a television. The mobile device captures temporal fragments of audio-video content on its microphone, camera, or both and generates corresponding audio-video query fingerprints. The query fingerprints are transmitted to a search server located remotely or used with a search function on the mobile device for content search and identification. Audio features are extracted and audio signal global onset detection is used for input audio frame alignment. Additional audio feature signatures are generated from local audio frame onsets, audio frame frequency domain entropy, and maximum change in the spectral coefficients. Video frames are analyzed to find a television screen in the frames, and a detected active television quadrilateral is used to generate video fingerprints to be combined with audio fingerprints for more reliable content identification.

Abstract: A media system replaces content in a first sequence of media content. The media system presents the first sequence of media content to an end-user and generates a fingerprint of the sequence of media content. The fingerprint is for comparison with a plurality of reference fingerprints so as to identify the first sequence of media content and determine a reference position within the first sequence of media content. The media system sends a request for a replacement sequence of content to a content replacement system, and receives replacement media content selected based on the identified first sequence of media content. The media system presents the replacement media content to the end-user instead of the first sequence of media content. Presenting the replacement media content begins at a position in the first sequence of media content that is determined based on the reference position.

Abstract: A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.

Abstract: A computing system identifies a media stream being received by a client, based on fingerprint matching conducted with query fingerprints generated by the client at a frame rate. The computing system then causes the client to increase the frame rate, in order to facilitate establishment by the computing system of synchronous lock between true time within the media stream and client time according to an clock of the client. The computing system then uses the established synchronous lock as a basis to map a true-time point at which a content revision should be performed in the media stream to a client-time point at which the client should perform the content revision. And the computing system causes the client to perform the content revision at the determined client-time point.

Abstract: A media system, receives a received sequence of media content, for presentation at the media system and generates a comparison fingerprint of the received sequence of media content. The comparison fingerprint is for comparison with a plurality of reference fingerprints so as to identify the received sequence of media content. The media system sends a request for identification of additional content to a server system. The request is based at least in part on the comparison fingerprint. The media system receives a response to the request, including information enabling additional content to be selected for display at the media system based at least in part on the identification of the received sequence of media content, and presents a displayed sequence of media content that includes at least a portion of the received sequence of media content and at least a portion of the additional content.

Abstract: Example methods and systems for displaying actionable elements over playing content, such as video content, are described. In some example embodiments, the methods and systems identify video content currently playing within a display environment provided by a playback device, and display an actionable element within the display environment provided by the playback device that is based on the identified video content and includes one or more user-selectable options to perform an action associated with the identified video content. Further, in some example embodiments, the methods and systems may perform an action (e.g., present supplemental content and/or information) in response to a selection of one or more of the user-selectable options.

Abstract: A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the server then takes channel-specific action based on the determined channel.

Abstract: In an example implementation, a method is described. The implementation accesses a plurality of media clips including a first video clip and a second video clip, matches a first fingerprint of the first video clip with a second fingerprint of the second video clip. The implementation also matches a first event location of the first video clip with a second event location of the second video clip, determines an overlap of the first video clip with the second video clip based at least in part on the match of the first fingerprint with the second fingerprint and the match of the first event location with the second event location, merges the first and second video clips into a group of overlapping video clips based on the overlap, and generates a presentation that includes the group formed by merging the first and second video clips based on the overlap.

Abstract: A media system replaces content in a first sequence of media content. The media system presents the first sequence of media content to an end-user and generates a fingerprint of the sequence of media content. The fingerprint is for comparison with a plurality of reference fingerprints so as to identify the first sequence of media content and determine a reference position within the first sequence of media content. The media system sends a request for a replacement sequence of content to a content replacement system, and receives replacement media content selected based on the identified first sequence of media content. The media system presents the replacement media content to the end-user instead of the first sequence of media content. Presenting the replacement media content begins at a position in the first sequence of media content that is determined based on the reference position.

Abstract: A computing system obtains a fingerprint of video content being rendered by a video presentation device, including a first portion representing a pre-established video segment and a second portion representing a dynamically-defined video segment. While obtaining the query fingerprint, the computing system (a) detects a match between the first portion of the query fingerprint and a reference fingerprint that represents the pre-established video segment, (b) based on the detecting of the match, identifies the video content being rendered, (c) after identifying the video content being rendered, applies a trained neural network to at least the second portion of the query fingerprint, and (d) detects, based on the applying of the neural network, that rendering of the identified video content continues. And responsive to at least the detecting that rendering of the identified video content continues, the computing system then takes associated action.

Abstract: A computing system obtains a fingerprint of video content being rendered by a video presentation device, including a first portion representing a pre-established video segment and a second portion representing a dynamically-defined video segment. While obtaining the query fingerprint, the computing system (a) detects a match between the first portion of the query fingerprint and a reference fingerprint that represents the pre-established video segment, (b) based on the detecting of the match, identifies the video content being rendered, (c) after identifying the video content being rendered, applies a trained neural network to at least the second portion of the query fingerprint, and (d) detects, based on the applying of the neural network, that rendering of the identified video content continues. And responsive to at least the detecting that rendering of the identified video content continues, the computing system then takes associated action.

Abstract: Techniques are described that exclude use of “stop-fingerprints” from media database formation and search query to an automatic content recognition (ACR) systems based on media content fingerprints updated by stop-fingerprint analysis. A classification process is presented which takes in fingerprints from reference media files as an input and produces a modified set of fingerprints as an output by applying a novel stop-fingerprint classification algorithm. Architecture for the distributed stop-fingerprint generation is presented. Various cases, as stop-fingerprints generation for the entire reference database, stop-fingerprints generation for the individual reference fingerprint files, and temporal fingerprint classification obtained through intermediate steps of the temporal fingerprint classification algorithm are presented. A hash-based signature classification algorithm is also described.

Abstract: In one aspect, an example method includes a processor (1) applying a feature map network to an image to create a feature map comprising a grid of vectors characterizing at least one feature in the image and (2) applying a probability map network to the feature map to create a probability map assigning a probability to the at least one feature in the image, where the assigned probability corresponds to a likelihood that the at least one feature is an overlay. The method further includes the processor determining that the probability exceeds a threshold, and responsive to the processor determining that the probability exceeds the threshold, performing a processing action associated with the at least one feature.

Abstract: A media system replaces content in a first sequence of media content. The media system presents the first sequence of media content to an end-user and generates a fingerprint of the sequence of media content. The fingerprint is for comparison with a plurality of reference fingerprints so as to identify the first sequence of media content and determine a reference position within the first sequence of media content. The media system sends a request for a replacement sequence of content to a content replacement system, and receives replacement media content selected based on the identified first sequence of media content. The media system presents the replacement media content to the end-user instead of the first sequence of media content. Presenting the replacement media content begins at a position in the first sequence of media content that is determined based on the reference position.

Abstract: A media system replaces content in a first sequence of media content. The media system presents the first sequence of media content to an end-user and generates a fingerprint of the sequence of media content. The fingerprint is for comparison with a plurality of reference fingerprints so as to identify the first sequence of media content and determine a reference position within the first sequence of media content. The media system sends a request for a replacement sequence of content to a content replacement system, and receives replacement media content selected based on the identified first sequence of media content. The media system presents the replacement media content to the end-user instead of the first sequence of media content. Presenting the replacement media content begins at a position in the first sequence of media content that is determined based on the reference position.

Abstract: Example methods and systems for displaying actionable elements over playing content, such as video content, are described. In some example embodiments, the methods and systems identify video content currently playing within a display environment provided by a playback device, and display an actionable element within the display environment provided by the playback device that is based on the identified video content and includes one or more user-selectable options to perform an action associated with the identified video content. Further, in some example embodiments, the methods and systems may perform an action (e.g., present supplemental content and/or information) in response to a selection of one or more of the user-selectable options.

Abstract: Example methods and systems for displaying actionable elements over playing content, such as video content, are described. In some example embodiments, the methods and systems identify video content currently playing within a display environment provided by a playback device, and display an actionable element within the display environment provided by the playback device that is based on the identified video content and includes one or more user-selectable options to perform an action associated with the identified video content. Further, in some example embodiments, the methods and systems may perform an action (e.g., present supplemental content and/or information) in response to a selection of one or more of the user-selectable options.

Abstract: Techniques are described that exclude use of “stop-fingerprints” from media database formation and search query to an automatic content recognition (ACR) systems based on media content fingerprints updated by stop-fingerprint analysis. A classification process is presented which takes in fingerprints from reference media files as an input and produces a modified set of fingerprints as an output by applying a novel stop-fingerprint classification algorithm. Architecture for the distributed stop-fingerprint generation is presented. Various cases, as stop-fingerprints generation for the entire reference database, stop-fingerprints generation for the individual reference fingerprint files, and temporal fingerprint classification obtained through intermediate steps of the temporal fingerprint classification algorithm are presented. A hash-based signature classification algorithm is also described.