Abstract: Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining an audio signature corresponding to a time period of a multimedia asset, identifying a match between the obtained audio signature and one or more stored audio signatures, comparing programming data of the multimedia assets of the obtained audio signature and the matching audio signatures, and determining whether the time period of the multimedia asset contains an advertisement based on the comparison of the programming data of the multimedia assets of the obtained audio signature and the one or more matching audio signatures. Another method includes identifying matches between a plurality of obtained audio signatures and a plurality of stored audio signatures, and determining whether consecutive time periods of the multimedia asset contain an advertisement based on a number of consecutive matching audio signatures of the plurality of stored audio signatures.

Abstract: Particular embodiments provide a system to determine ad segments in a video asset to enable subsequent ad replacement in video programs. The system is included in a multiple service operator (MSO) system that broadcasts video programs via a broadcast schedule. The MSO may not know the location of the ad segments in the video asset. To determine the ad segments, the MSO uses a classifier to classify video program segments and advertisements in the video asset. The classifier may be integrated with an nDVR system. By integrating with the nDVR system, particular embodiments may determine user behavior information, such as trick play commands, from the nDVR system. The classifier may use the user behavior information to detect ad segments in the video asset. In one embodiment, the classifier may fuse outputs from different detectors to detect and validate ad segments in the video program.

Abstract: Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining an audio signature corresponding to a time period of a multimedia asset, identifying a match between the obtained audio signature and one or more stored audio signatures, comparing programming data of the multimedia assets of the obtained audio signature and the matching audio signatures, and determining whether the time period of the multimedia asset contains an advertisement based on the comparison of the programming data of the multimedia assets of the obtained audio signature and the one or more matching audio signatures. Another method includes identifying matches between a plurality of obtained audio signatures and a plurality of stored audio signatures, and determining whether consecutive time periods of the multimedia asset contain an advertisement based on a number of consecutive matching audio signatures of the plurality of stored audio signatures.

Abstract: Particular embodiments provide a system to determine ad segments in a video asset to enable subsequent ad replacement in video programs. The system is included in a multiple service operator (MSO) system that broadcasts video programs via a broadcast schedule. The MSO may not know the location of the ad segments in the video asset. To determine the ad segments, the MSO uses a classifier to classify video program segments and advertisements in the video asset. The classifier may be integrated with an nDVR system. By integrating with the nDVR system, particular embodiments may determine user behavior information, such as trick play commands, from the nDVR system. The classifier may use the user behavior information to detect ad segments in the video asset. In one embodiment, the classifier may fuse outputs from different detectors to detect and validate ad segments in the video program.

Abstract: A method for creating derivative advertisements is provided. The method includes identifying a visual element based on an analysis of a primary advertisement asset such that the visual element is representative of a branding message provided within the primary advertisement. The method also includes identifying a call-to-action (CTA) data element based on the analysis and creating a derivative advertisement asset having the visual element and CTA data element. A system and a non-transitory computer-readable storage medium containing software for executing the method are also provided.

Abstract: Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining a multimedia asset comprising at least one of video, audio and text, identifying segments of the multimedia asset, and for each segment, determining whether the respective segment represents an advertisement. For each segment that represents an advertisement, the method further includes extracting a predetermined number of fingerprints from the respective segment, submitting, to an advertisement database, the predetermined number of fingerprints, receiving, from the advertisement database, a count of the extracted fingerprints matching fingerprints previously stored in the advertisement database, and determining, based on the count, whether to add an indication that the respective segment is a new advertisement to the advertisement database.

Abstract: Particular embodiments provide a system to determine ad segments in a video asset to enable subsequent ad replacement in video programs. The system is included in a multiple service operator (MSO) system that broadcasts video programs via a broadcast schedule. The MSO may not know the location of the ad segments in the video asset. To determine the ad segments, the MSO uses a classifier to classify video program segments and advertisements in the video asset. The classifier may be integrated with an nDVR system. By integrating with the nDVR system, particular embodiments may determine user behavior information, such as trick play commands, from the nDVR system. The classifier may use the user behavior information to detect ad segments in the video asset. In one embodiment, the classifier may fuse outputs from different detectors to detect and validate ad segments in the video program.

Abstract: A method of video segment detection within a transport stream of a video asset is provided. Boundaries of candidate video segments of interest (i.e., advertisements, sports highlights, news highlights, content summaries, etc.) within a video asset are detected with a media analysis detector and are separately detected based on statistical models generated from historic transport control event data collected from a population of viewers of the video asset. The above referenced information concerning the candidate video segments of interest is used to identify beginning and end boundaries of selected candidate video segments within the transport stream. A transcoder is provided with parameters corresponding to the selected candidate video segments and performs group of pictures (GOP) and chunk boundary alignment of chunks of the transport stream with the boundaries of the selected candidate video segments. A system and non-transitory computer-readable storage medium are also disclosed.

Abstract: A method and apparatus for distributing live video to multiple client devices is provided herein. In particular, a router is provided that acts on behalf of all client devices in its network. The router serves multiple groups of client devices with each group being formed by client devices having similar bandwidth requirements. The router then requests and receives video chunks from a network. The router then redistributes the video chunks to the multiple client devices using a multicast transmission. In particular, to minimize the demands on the core network, the router sets up a separate multicast to each group. Live video, of the appropriate quality is then multicast to each group.

Abstract: A method of video segment detection within a transport stream of a video asset is provided. Boundaries of candidate video segments of interest (i.e., advertisements, sports highlights, news highlights, content summaries, etc.) within a video asset are detected with a media analysis detector and are separately detected based on statistical models generated from historic transport control event data collected from a population of viewers of the video asset. The above referenced information concerning the candidate video segments of interest is used to identify beginning and end boundaries of selected candidate video segments within the transport stream. A transcoder is provided with parameters corresponding to the selected candidate video segments and performs group of pictures (GOP) and chunk boundary alignment of chunks of the transport stream with the boundaries of the selected candidate video segments. A system and non-transitory computer-readable storage medium are also disclosed.

Abstract: Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining a multimedia asset comprising at least one of video, audio and text, identifying segments of the multimedia asset, and for each segment, determining whether the respective segment represents an advertisement. For each segment that represents an advertisement, the method further includes extracting a predetermined number of fingerprints from the respective segment, submitting, to an advertisement database, the predetermined number of fingerprints, receiving, from the advertisement database, a count of the extracted fingerprints matching fingerprints previously stored in the advertisement database, and determining, based on the count, whether to add an indication that the respective segment is a new advertisement to the advertisement database.

Abstract: A method receives video content and metadata associated with video content. The method then extracts features of the video content based on the metadata. Portions of the visual, audio, and textual features are fused into composite features that include multiple features from the visual, audio, and textual features. A set of video segments of the video content is identified based on the composite features of the video content. Also, the segments may be identified based on a user query.

Abstract: Particular embodiments provide supplemental content that may be related to video content that a user is watching. A segment of closed-caption text from closed-captions for the video content is determined. A first set of information from the segment of closed-caption text, such as terms may be extracted. Particular embodiments use an external source that can be determined from a set of external sources. To determine the supplemental content, particular embodiments may extract a second set of information from the external source. Because the external source may be more robust and include more text than the segment of closed-caption text, the second set of information may include terms that better represent the segment of closed-caption text. Particular embodiments thus use the second set of information to determine supplemental content for the video content, and can provide the supplemental content to a user watching the video content.

Abstract: Methods of monitoring segment replacement within a multimedia stream are provided. A multimedia stream having a replacement segment spliced therein is evaluated by extracting at least one of video, text, and audio features from the multimedia stream adjacent a beginning or ending of the replacement segment, and the extracted features are analyzed to detect if a residual of a segment replaced by the replacement segment exists within the multimedia stream. Methods of ad replacement and a system for performing the above methods are also disclosed.

Abstract: Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining an audio signature corresponding to a time period of a multimedia asset, identifying a match between the obtained audio signature and one or more stored audio signatures, comparing programming data of the multimedia assets of the obtained audio signature and the matching audio signatures, and determining whether the time period of the multimedia asset contains an advertisement based on the comparison of the programming data of the multimedia assets of the obtained audio signature and the one or more matching audio signatures. Another method includes identifying matches between a plurality of obtained audio signatures and a plurality of stored audio signatures, and determining whether consecutive time periods of the multimedia asset contain an advertisement based on a number of consecutive matching audio signatures of the plurality of stored audio signatures.

Abstract: A method and apparatus for distributing live video to multiple client devices is provided herein. In particular, a router is provided that acts on behalf of all client devices in its network. The router serves multiple groups of client devices with each group being formed by client devices having similar bandwidth requirements. The router then requests and receives video chunks from a network. The router then redistributes the video chunks to the multiple client devices using a multicast transmission. In particular, to minimize the demands on the core network, the router sets up a separate multicast to each group. Live video, of the appropriate quality is then multicast to each group.

Abstract: Particular embodiments provide a system to determine ad segments in a video asset to enable subsequent ad replacement in video programs. The system is included in a multiple service operator (MSO) system that broadcasts video programs via a broadcast schedule. The MSO may not know the location of the ad segments in the video asset. To determine the ad segments, the MSO uses a classifier to classify video program segments and advertisements in the video asset. The classifier may be integrated with an nDVR system. By integrating with the nDVR system, particular embodiments may determine user behavior information, such as trick play commands, from the nDVR system. The classifier may use the user behavior information to detect ad segments in the video asset. In one embodiment, the classifier may fuse outputs from different detectors to detect and validate ad segments in the video program.

Abstract: A method and apparatus for distributing live video to multiple client devices is provided herein. In particular, a router is provided that acts on behalf of all client devices in its network. The router serves multiple groups of client devices with each group being formed by client devices having similar bandwidth requirements. The router then requests and receives video chunks from a network. The router then redistributes the video chunks to the multiple client devices using a multicast transmission. In particular, to minimize the demands on the core network, the router sets up a separate multicast to each group. Live video, of the appropriate quality is then multicast to each group.

Abstract: A method of identifying a representative image of a video stream is provided. Similarity between video frames of a primary video stream relative to video frames of a different secondary video stream having similar content is evaluated and a video frame from the primary video stream having a greatest extent of similarity relative to a video frame of the secondary video stream is identified. The identified video frame is selected as an image representative of the primary video stream and may be used as an informative thumbnail image for the primary video stream. A video processing electronic device and at least one non-transitory computer readable storage medium having computer program instructions stored thereon for performing the method are also provided.

Abstract: Methods of monitoring segment replacement within a multimedia stream are provided. A multimedia stream having a replacement segment spliced therein is evaluated by extracting at least one of video, text, and audio features from the multimedia stream adjacent a beginning or ending of the replacement segment, and the extracted features are analyzed to detect if a residual of a segment replaced by the replacement segment exists within the multimedia stream. Methods of ad replacement and a system for performing the above methods are also disclosed.