Abstract: Systems, methods, and instrumentalities are disclosed for reference picture set mapping for scalable video coding. A device may receive an encoded scalable video stream comprising a base layer video stream and an enhancement layer video stream. The base layer video stream and the enhancement layer video streams may be encoded according to different video codecs. For example, the base layer video stream may be encoded according to H.264/AVC and the enhancement layer may be encoded according to HEVC. The enhancement layer video stream may include inter-layer prediction information. The inter-layer prediction information may include information relating to the base layer coding structure. The inter-layer prediction information may identify one or more reference pictures available in a base layer decoded picture buffer (DPB). A decoder may use the inter-layer prediction information to decode the enhancement layer video stream.

Abstract: A video coding device may identify a network abstraction layer (NAL) unit. The video coding device may determine whether the NAL unit includes an active parameter set for a current layer. When the NAL unit includes the active parameter set for the current layer, the video coding device may set an NAL unit header layer identifier associated with the NAL unit to at least one of: zero, a value indicative of the current layer, or a value indicative of a reference layer of the current layer. The NAL unit may be a picture parameter set (PPS) NAL unit. The NAL unit may be a sequence parameter set (SPS) NAL unit.

Abstract: A high dynamic range (HDR) signal processing device may receive a video signal and an operating mode indication. The operating mode indication may indicate a format of the video signal, for example, an HDR format or a non-DR format. Whether to perform adaptive reshaping on the video signal may be determined based on the operating mode indication. For example, it may be determined to perform the adaptive reshaping if the operating mode indicates that the video signal is in an HDR format. It may be determined to bypass the adaptive reshaping if the operating mode indicates that the video signal is in the non-HDR format. Multiple types of HDR reconstruction metadata may be received via a network abstraction layer (NAL) unit.

Abstract: Methods and systems are disclosed for a mobile device to decode video based on available power and/or energy. For example, the mobile device may receive a media description file (MDF) from for a video stream from a video server. The MDF may include complexity information associated with a plurality of video segments. The complexity information may be related to the amount of processing power to be utilized for decoding the segment at the mobile device. The mobile device may determine at least one power metric for the mobile device. The mobile device may determine a first complexity level to be requested for a first video segment based on the complexity information from the MDF and the power metric. The mobile device may dynamically alter the decoding process to save energy based on the detected power/energy level.

Abstract: Systems, methods, and instrumentalities are disclosed for encoder and/or decoder optimization using a multi-threaded parallel processing framework. An encoding and/or decoding device may receive a video sequence that includes a plurality of first-temporal level pictures associated with a first temporal level and a plurality of second-temporal level pictures associated with a second temporal level. The encoding and/or decoding device may allocate a first number of parallel processing threads for encoding and/or decoding the first-temporal level pictures and a second number of parallel processing threads for encoding and/or decoding the second-temporal level pictures. The device may perform this allocation based on temporal level priority, for example. The encoding and/or decoding device may encode and/or decode the first-temporal level pictures and the second-temporal level pictures.

Abstract: A system, method, and/or instrumentality may be provided for coding a 360-degree video. A picture of the 360-degree video may be received. The picture may include one or more faces associated with one or more projection formats. A first projection format indication may be received that indicates a first projection format may be associated with a first face. A second projection format indication may be received that indicates a second projection format may be associated with a second face. Based on the first projection format, a first transform function associated with the first face may be determined. Based on the second projection format, a second transform function associated with the second face may be determined. At least one decoding process may be performed on the first face using the first transform function and/or at least one decoding process may be performed on the second face using the second transform function.

Abstract: Systems and methods for adaptively streaming video content to a wireless transmit/receive unit (WTRU) or wired transmit/receive unit may comprise obtaining a media presentation description that comprises a content authenticity, requesting a key for a hash-based message authentication code; receiving the key for the hash-based message authentication code, determining a determined hash for a segment of the media presentation description, requesting a reference hash for the segment from a server, receiving the reference hash for the segment from the server, and comparing the reference hash to the determined hash to determine whether the requested hash matches the determined hash.

Abstract: A video coding device may encode a video signal using intra-block copy prediction. A first picture prediction unit of a first picture may be identified. A second picture may be coded and identified. The second picture may be temporally related to the first picture, and the second picture may include second picture prediction units. A second picture prediction unit that is collocated with the first picture prediction unit may be identified. Prediction information for the first picture prediction unit may be generated. The prediction information may be based on a block vector of the second picture prediction unit that is collocated with the first picture prediction unit.

Abstract: Media content coded using scalable coding techniques may be cached among a group of cache devices. Layered segments of the media content may be pre-loaded onto the cache devices, which may be located throughout a content distribution network, including a home network. The caching location of the media content may be determined based on multiple factors including a content preference associated with the group of cache devices and device capabilities. A cache controller may manage the caching of the media content.

Abstract: Systems, methods, and instrumentalities are provided to implement video coding system (VCS). The VCS may be configured to receive a video signal, which may include one or more layers (e.g., a base layer (BL) and/or one or more enhancement layers (ELs)). The VCS may be configured to process a BL picture into an inter-layer reference (ILR) picture, e.g., using picture level inter-layer prediction process. The VCS may be configured to select one or both of the processed ILR picture or an enhancement layer (EL) reference picture. The selected reference picture(s) may comprise one of the EL reference picture, or the ILR picture. The VCS may be configured to predict a current EL picture using one or more of the selected ILR picture or the EL reference picture. The VCS may be configured to store the processed ILR picture in an EL decoded picture buffer (DPB).

Abstract: A computer-implementable method for managing a cognitive graph comprising: receiving data from a plurality of data sources; processing the data from the plurality of data sources, the processing the data from the plurality of data sources identifying a plurality of knowledge elements; and, storing the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data, each knowledge element being structurally defined within the cognitive graph.

Abstract: Systems, methods, and instrumentalities are disclosed for enhancing performance of multi-path communications. Multi-path communication performance may be enhanced by determining whether multipath communications share a congested router. A multi-path real-time communication protocol may provide techniques to prevent, detect, communicate and respond to a shared congested router. A shared congested router may be prevented, and/or detected using one or more detection techniques.

Abstract: A method, system and computer-usable medium for providing composite cognitive insights comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content.

Abstract: A video coding system (e.g., an encoder and/or a decoder) may perform face-based sub-block motion compensation for 360-degree video to predict samples (e.g., of a sub-block). The video coding system may receive a 360-degree video content. The 360-degree video content may include a current block. The current block may include a plurality of sub-blocks. The system may determine whether a sub-block mode is used for the current block. The system may predict a sample in the current block based on the sub-block level face association. For a first sub-block in the current block, the system may identify a first location of the first sub-block. The system may associate the first sub-block with a first face based on the identified first location of the first sub-block. The system may predict a first sample in the first sub-block based on the first face that is associated with the first sub-block.

Abstract: A method for receiving and displaying media content may be provided. The method may include requesting a set of DASH video segments that are associated with various viewports and qualities. The method may include displaying the DASH video segments. The method may indue determining a latency metric based on a time difference between the display of a DASH video segment and one of: a device beginning to move, the device ceasing to move, the device determining that the device has begun to move, the device determining that the device has stopped moving, or the display of a different DASH video segment. The different DASH video segment may be associated with one or more of a different quality or a different viewport.

Abstract: A video coding device may identify a network abstraction layer (NAL) unit. The video coding device may determine whether the NAL unit includes an active parameter set for a current layer. When the NAL unit includes the active parameter set for the current layer, the video coding device may set an NAL unit header layer identifier associated with the NAL unit to at least one of: zero, a value indicative of the current layer, or a value indicative of a reference layer of the current layer. The NAL unit may be a picture parameter set (PPS) NAL unit. The NAL unit may be a sequence parameter set (SPS) NAL unit.

Abstract: Methods and systems are disclosed for a mobile device to decode video based on available power and/or energy. For example, the mobile device may receive a media description file (MDF) from for a video stream from a video server. The MDF may include complexity information associated with a plurality of video segments. The complexity information may be related to the amount of processing power to be utilized for decoding the segment at the mobile device. The mobile device may determine at least one power metric for the mobile device. The mobile device may determine a first complexity level to be requested for a first video segment based on the complexity information from the MDF and the power metric. The mobile device may dynamically alter the decoding process to save energy based on the detected power/energy level.

Abstract: A computer-implementable method for managing a cognitive graph comprising: receiving data a data source, the data comprising a query and information relating to an answer to the query; processing the query, the processing the query identifying a plurality of query related knowledge elements; processing the information relating to the answer to the query, the processing the information relating to the answer to the query identifying a plurality of answer related knowledge elements; and, storing the plurality of query related knowledge elements and the plurality of answer related knowledge elements within the cognitive graph as a collection of knowledge elements.

Abstract: A method for providing travel optimized cognitive insights comprising: receiving data from a plurality of data sources, at least some of the plurality of data sources comprising travel relevant data sources; processing the data from the plurality of data sources to provide cognitively processed insights; performing a learning operation to iteratively improve the cognitively processed insights over time; and, providing the cognitively processed travel relevant insights to a destination.

Abstract: Systems, methods, and instrumentalities are disclosed for encoder and/or decoder optimization using a multi-threaded parallel processing framework. An encoding and/or decoding device may receive a video sequence that includes a plurality of first-temporal level pictures associated with a first temporal level and a plurality of second-temporal level pictures associated with a second temporal level. The encoding and/or decoding device may allocate a first number of parallel processing threads for encoding and/or decoding the first-temporal level pictures and a second number of parallel processing threads for encoding and/or decoding the second-temporal level pictures. The device may perform this allocation based on temporal level priority, for example. The encoding and/or decoding device may encode and/or decode the first-temporal level pictures and the second-temporal level pictures.