Abstract: A method of filtering reconstructed video data is provided. The method receives an array of reconstructed luma samples including a P-block and a Q-block that are both adjacent to an intra sub-partitions (ISP) edge, and determines a first maximum filter length based on whether a first size of an edge of one of the P-block and the Q-block is less than 32. The edge of the one of the P-block and the Q-block is perpendicular to the ISP edge. The method further deblocks the array of the reconstructed luma samples based on the determined first maximum filter length.

Abstract: This disclosure relates to video coding and more particularly to techniques for performing deblocking of reconstructed video data. In one example, a method of filtering reconstructed video data is disclosed. The method comprises: receiving an edge type variable specifying whether a vertical or horizontal edge is filtered; deriving a maximum filter length based on the edge type variable; and performing a deblocking filtering for a current block based on the maximum filter length.

Abstract: This disclosure relates to video coding and more particularly to techniques for performing deblocking of reconstructed video data. According to an aspect of an invention, a maximum filter length is determined based on whether a P-block or a Q-block has an edge which is perpendicular to a deblocking boundary and whose size is greater than or equal to 32.

Abstract: Systems and methods for applying deblocking filters to reconstructed video data are disclosed. Sample values in adjacent reconstructed video blocks are modified according to multiple passes of a deblocking filter. A filtering pass may correspond to processing or constructing of all or subset of samples to be deblocked. The number of processing or constructing for each sample in a given pass may correspond to the pass index or order.

Abstract: Systems and methods for applying deblocking filters to reconstructed video data are disclosed. Sample values in adjacent reconstructed video blocks are modified according to multiple passes of a deblocking filter. A filtering pass may correspond to processing or constructing of all or subset of samples to be deblocked. The number of processing or constructing for each sample in a given pass may correspond to the pass index or order.

Abstract: In an answer view, a first video segment is selected based on a first natural language input and displayed in a main display region, and a self-video image of a user is displayed in a peripheral display region having a smaller area than the main display region. To transition from the answer view to a question view, the self-video image is enlarged to replace the first video segment in the main display region. A second natural language input is received. To transition from the question view to the answer view, the self-video image is reduced to occupy the peripheral display region and the self-video image is replaced in the main display region with a second video segment selected based on the second natural language input. The video segments are pre-recorded video response segments spoken by the same person. Enlarging the self-video image masks the transition between the video segments.

Abstract: In an answer view, a first video segment is selected based on a first natural language input and displayed in a main display region, and a self-video image of a user is displayed in a peripheral display region having a smaller area than the main display region. To transition from the answer view to a question view, the self-video image is enlarged to replace the first video segment in the main display region. A second natural language input is received. To transition from the question view to the answer view, the self-video image is reduced to occupy the peripheral display region and the self-video image is replaced in the main display region with a second video segment selected based on the second natural language input. The video segments are pre-recorded video response segments spoken by the same person. Enlarging the self-video image masks the transition between the video segments.

Abstract: This disclosure relates to video coding and more particularly to techniques for performing deblocking of reconstructed video data. According to an aspect of an invention, reconstructed video data having a 4:2:2 chroma format is received and for a four line decision segment corresponding to a vertical deblocking boundary for a chroma component of the video data, a gradient value is computed using samples included in the first and fourth lines.

Abstract: This disclosure relates to video coding and more particularly to techniques for performing deblocking of reconstructed video data. According to an aspect of an invention, a maximum filter length is determined based on whether a P-block or a Q-block has an edge which is perpendicular to a deblocking boundary and whose size is greater than or equal to 32.

Abstract: Systems and methods for performing motion vector prediction for video coding are disclosed. A motion vector predictor is determined based at least in part on motion information associated with a selected motion vector predictor origin and offset values corresponding to a selected sampling point. The sampling point is specified according to a set of direction and distance on a sampling map for the motion vector predictor origin.

Abstract: Systems and methods for applying deblocking filters to reconstructed video data are disclosed. Sample values in adjacent reconstructed video blocks are modified according to multiple passes of a deblocking filter. A filtering pass may correspond to processing or constructing of all or subset of samples to be deblocked. The number of processing or constructing for each sample in a given pass may correspond to the pass index or order.

Abstract: Systems and methods for performing motion vector prediction for video coding are disclosed. A motion vector predictor is determined based at least in part on motion information associated with a selected motion vector predictor origin and offset values corresponding to a selected sampling point. The sampling point is specified according to a set of direction and distance on a sampling map for the motion vector predictor origin.

Abstract: A video coding device may be configured to perform video coding according to one or more of the techniques described herein.

Abstract: Systems and methods for applying deblocking filters to reconstructed video data are disclosed. Sample values in adjacent reconstructed video blocks are modified according to multiple passes of a deblocking filter. A filtering pass may correspond to processing or constructing of all or subset of samples to be deblocked. The number of processing or constructing for each sample in a given pass may correspond to the pass index or order.

Abstract: Systems and methods for applying deblocking filters to reconstructed video data are disclosed. Sample values in adjacent reconstructed video blocks are modified according to multiple passes of a deblocking filter. A filtering pass may correspond to processing or constructing of all or subset of samples to be deblocked. The number of processing or constructing for each sample in a given pass may correspond to the pass index or order.

Abstract: A video coding device may be configured to perform deblocking video coding according to one or more of the techniques described herein.

Abstract: Systems and methods for performing motion vector prediction for video coding are disclosed. A motion vector predictor is determined based at least in part on motion information associated with a selected motion vector predictor origin and offset values corresponding to a selected sampling point. The sampling point is specified according to a set of direction and distance on a sampling map for the motion vector predictor origin.

Abstract: This invention relates to a method of coding of video data, the method comprising: receiving an array of sample values for a component of video data; determining one or more filter parameters based on video properties and/or coding parameters; modifying the sample values based on determined filter parameters and a defined filter; and output an array of modified samples values; outputting an array of modified samples values.

Abstract: We set out a graphical model for describing probability distributions over labeled partitions of an undirected graph which are conditioned on observed data. We show how to efficiently perform exact inference in these models, by exploiting the structure of the graph and adapting the sum-product and max-product algorithms. The method can be used for partitioning and labeling hand-drawn ink fragments, image data, speech data and natural language data amongst other types of data elements. A significant performance increase is obtained by labeling and partitioning simultaneously. It is also possible to partition without labeling.

Abstract: We set out a graphical model for describing probability distributions over labeled partitions of an undirected graph which are conditioned on observed data. We show how to efficiently perform exact inference in these models, by exploiting the structure of the graph and adapting the sum-product and max-product algorithms. The method can be used for partitioning and labeling hand-drawn ink fragments, image data, speech data and natural language data amongst other types of data elements. A significant performance increase is obtained by labeling and partitioning simultaneously. It is also possible to partition without labeling.