Abstract: Methods and systems are provided for bitrate adaptation of a video asset to be streamed to a client device for playback. The method includes selecting a representation from a manifest which expresses a set of representations available for each chunk of the video asset and generating a dynamic manifest for the video asset in which the representation selected for the at least one chunk is recommended for streaming to the client device. The selection of the representation recommended for the chunk may be based on at least one of historic viewing behavior of previous viewers of the chunk, content analysis information for the chunk, a level of available network bandwidth, a level of available network storage, and data rate utilization information of network resources including current, average, peak, and minimum data rate of network resources.

Abstract: Methods and systems are provided for bitrate adaptation of a video asset to be streamed to a client device for playback. The method includes selecting a representation from a manifest which expresses a set of representations available for each chunk of the video asset and generating a dynamic manifest for the video asset in which the representation selected for the at least one chunk is recommended for streaming to the client device. The selection of the representation recommended for the chunk may be based on at least one of historic viewing behavior of previous viewers of the chunk, content analysis information for the chunk, a level of available network bandwidth, a level of available network storage, and data rate utilization information of network resources including current, average, peak, and minimum data rate of network resources.

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: 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: Methods and systems are provided for bitrate adaptation of a video asset to be streamed to a client device for playback. The method includes selecting a representation from a manifest which expresses a set of representations available for each chunk of the video asset and generating a dynamic manifest for the video asset in which the representation selected for the at least one chunk is recommended for streaming to the client device. The selection of the representation recommended for the chunk may be based on at least one of historic viewing behavior of previous viewers of the chunk, content analysis information for the chunk, a level of available network bandwidth, a level of available network storage, and data rate utilization information of network resources including current, average, peak, and minimum data rate of network resources.

Abstract: Methods and systems are provided for bitrate adaptation of a video asset to be streamed to a client device for playback. The method includes selecting a representation from a manifest which expresses a set of representations available for each chunk of the video asset and generating a dynamic manifest for the video asset in which the representation selected for the at least one chunk is recommended for streaming to the client device. The selection of the representation recommended for the chunk may be based on at least one of historic viewing behavior of previous viewers of the chunk, content analysis information for the chunk, a level of available network bandwidth, a level of available network storage, and data rate utilization information of network resources including current, average, peak, and minimum data rate of network resources.

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: 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 system and method are provided for recommending a segment of a segmented video asset of particular interest to a client. A copy of a video asset is created such that the copy is in the form of a set of segments for being transmitted to a client device for playback. A relationship is established between start and end times of each segment relative to a standard version of segments of the video asset, and metadata is generated for each segment of the copy. The metadata and relationship is used relative to the standard version with viewing data collected across a population of viewers having viewed the video asset to produce viewing metrics for each segment of the set of segments of the copy. The viewing metrics are provided to a recommender which uses the viewing metrics to generate a recommendation of a segment of the copy to a client.

Abstract: Methods and systems are provided for bitrate adaptation of a video asset to be streamed to a client device for playback. The method includes selecting a representation from a manifest which expresses a set of representations available for each chunk of the video asset and generating a dynamic manifest for the video asset in which the representation selected for the at least one chunk is recommended for streaming to the client device. The selection of the representation recommended for the chunk may be based on at least one of historic viewing behavior of previous viewers of the chunk, content analysis information for the chunk, a level of available network bandwidth, a level of available network storage, and data rate utilization information of network resources including current, average, peak, and minimum data rate of network resources.

Abstract: A system and method are provided for recommending a segment of a segmented video asset of particular interest to a client. A copy of a video asset is created such that the copy is in the form of a set of segments for being transmitted to a client device for playback. A relationship is established between start and end times of each segment relative to a standard version of segments of the video asset, and metadata is generated for each segment of the copy. The metadata and relationship is used relative to the standard version with viewing data collected across a population of viewers having viewed the video asset to produce viewing metrics for each segment of the set of segments of the copy. The viewing metrics are provided to a recommender which uses the viewing metrics to generate a recommendation of a segment of the copy to a client.

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 wireless device augment and manage, respectively, emergency alert messages with additional emergency information. An emergency alert message is determined to have been sent (404) to one or more wireless devices (102) in a given area. The emergency alert message is analyzed (406) to determine a type of emergency associated with the emergency alert message. Optionally, a current location of at least one wireless device (102) within the given area is determined. A message is generated (412), based at least in part on the type of emergency and logistics of the given area, including additional emergency information for augmenting the emergency alert message. The message that has been generated is transmitted to the at least one wireless device (102). This message is, optionally, adjusted based on the location of the device and the logistics of the given area.

Abstract: A method and information processing system transmit emergency alert system messages to wireless devices. An EAS alert message (302) is transmitted to at least one wireless device (106) using one or more access channels (306) associated with a coverage area. An acknowledgement message (200) is received from the wireless device (106). The acknowledgement message (200) includes at least one of a location associated with the wireless device (106) and an identifier associated with each access channel over which the wireless device (106) received the EAS alert message (302). At least one of a first set of information indicating locations within the coverage area that have successfully received the EAS alert message (302) and a second set of information indicating which access channels have successfully transmitted the EAS alert message (302) to the wireless devices (106) within the coverage area are stored based on receiving the acknowledgement message.

Abstract: A method and information processing system transmit emergency alert system messages to wireless devices. An EAS alert message (302) is transmitted to at least one wireless device (106) using one or more access channels (306) associated with a coverage area. An acknowledgement message (200) is received from the wireless device (106). The acknowledgement message (200) includes at least one of a location associated with the wireless device (106) and an identifier associated with each access channel over which the wireless device (106) received the EAS alert message (302). At least one of a first set of information indicating locations within the coverage area that have successfully received the EAS alert message (302) and a second set of information indicating which access channels have successfully transmitted the EAS alert message (302) to the wireless devices (106) within the coverage area are stored based on receiving the acknowledgement message.

Abstract: A method and wireless device augment and manage, respectively, emergency alert messages with additional emergency information. An emergency alert message is determined to have been sent (404) to one or more wireless devices (102) in a given area. The emergency alert message is analyzed (406) to determine a type of emergency associated with the emergency alert message. Optionally, a current location of at least one wireless device (102) within the given area is determined. A message is generated (412), based at least in part on the type of emergency and logistics of the given area, including additional emergency information for augmenting the emergency alert message. The message that has been generated is transmitted to the at least one wireless device (102). This message is, optionally, adjusted based on the location of the device and the logistics of the given area.