Abstract: A process for determining the selection of filters and input samples is provided for scalable video coding. The process provides for re-sampling using video data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system to improve quality in Scalable High Efficiency Video Coding (SHVC). In order to accommodate other applications such as interlace/progressive scalability and to increase the resolution of the alignment between layers, it is proposed that the phase offset adjustment parameters be signaled.

Abstract: A method for determining a resampling filter for resampling a video signal used in scalable video coding includes estimating a set of row filters based on a video signal. The video signal has a base resolution that is resampled to provide an output signal that enables more efficient coding of the video signal with an enhanced resolution higher than a base resolution. The set of row filters is applied to the video signal to generate a first output signal having rows that are interpolated to the enhanced resolution. A set of column filters is estimated based on the first output signal for resampling the columns in the video signal. The set of column filters is applied to the first output signal to generate a second output signal having columns as well as rows that are interpolated to the enhanced resolution.

Abstract: A method of encoding a digital video, comprising receiving a high dynamic range (HDR) master of a video, a reference standard dynamic range (SDR) master of the video, and target SDR display properties at an encoder, finding a color volume transform that converts HDR values from the HDR master into SDR values that, when converted for display on the target SDR display, are substantially similar to SDR values in the reference SDR master, converting HDR values from the HDR master into SDR values using the color volume transform, generating metadata items that identifies the color volume transform to decoders, and encoding the SDR values into a bitstream.

Abstract: A process for determining the selection of filters and input samples is provided for scalable video coding. The process provides for re-sampling using video data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system to improve quality in Scalable High Efficiency Video Coding (SHVC). It is proposed that a single scaled reference layer offset be derived from two scaled reference layer offset parameters, and vice-versa. It is also proposed that a single scaled reference layer offset or a single reference layer offset be derived from a combination of a scaled reference layer offset parameter and a reference layer offset parameter.

Abstract: A process for determining the selection of filters and input samples is provided for scalable video coding. The process provides for re-sampling using video data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system to improve quality in Scalable High Efficiency Video Coding (SHVC). In order to provide better alignment between layers, it is proposed that reference layer offset adjustment parameters be signaled.

Abstract: A method of decoding JVET video, comprising defining a coding unit (CU) template within a decoded area of a video frame, the CU template being positioned above and/or to the left of a current decoding position for which data was intra predicted, defining a search window within the decoded area, the search window being adjacent to the CU template, generating a plurality of candidate prediction templates based on pixel values in the search window, each of the plurality of candidate prediction templates being generated using different intra prediction modes, calculating a matching cost between the CU template and each of the plurality of candidate prediction templates, selecting an intra prediction mode that generated the candidate prediction template that had the lowest matching cost relative to the CU template, and generating a prediction CU for the current decoding position based on the intra prediction mode.

Abstract: A method is provided for encoding a digital video to improve perceptual quality. The method includes receiving a digital video at a video encoder, providing a perceptual quantizer function defined by P ? Q ? ( L ) = ( c 1 + c 2 ? L m 1 1 + c 3 ? L m 1 ) m 2 , wherein L is a luminance value, c1, c2, c3, and m1 are parameters with fixed values, and m2 is a parameter with a variable value, adapting the perceptual quantizer function by adjusting the value of the m2 parameter based on different luminance value ranges found within a coding level of the digital video, encoding the digital video into a bitstream using, in part, the perceptual quantizer function, transmitting the bitstream to a decoder, and transmitting the value of the m2 parameter to the decoder for each luminance value range in the coding level.

Abstract: A method of decoding JVET video, comprising receiving a bitstream indicating how a coding tree unit was partitioned into coding units according to a partitioning structure that allows nodes to be split according to a partitioning technique. An intra direction mode for a coding unit may be selected, as well as one or more of the plurality of reference lines to generate at least one predictor for the intra direction mode. A predictor may be generated from reference samples within each selected reference line by combining predicted pixel values based on a projected position on a main reference line in combination with predicted pixel values based on a projected position on a side reference line. The predicted pixel values are weighted according to a weight parameter, wherein the weight parameter is determined based on a shift conversion factor.

Abstract: A method for transforming high dynamic range (HDR) video data into standard dynamic range (SDR) video data and encoding the SDR video data so that the HDR video data may be recovered at the decoder includes generating a tone map describing a transformation applied to the HDR video data to generate the SDR video data. The generated tone map describes the transformation as the multiplication of each HDR pixel in the HDR video data by a scalar to generate the SDR video data. The tone map is then modeled as a reshaping transfer function and the HDR video data is processed by the reshaping transfer function to generate the SDR video data. The reshaping transfer function is then inverted and described in a self-referential metadata structure. The SDR video data is then encoded including the metadata structure defining the inverse reshaping transfer function.

Abstract: In one embodiment, a method receives a plurality of sample values. The method then determines a filter to determine an up-sampled value for a first layer for a video, wherein the filter has a set of coefficient values of [?1, 3, ?9, 47, 31, ?10, 4, ?1] or [?1, 4, ?10, 31, 47, ?9, 3, ?1] assigned to the filter. The up-sampled value is determined by applying the set of coefficient values of [?1, 3, ?9, 47, 31, ?10, 4, ?1] or [?1, 4, ?10, 31, 47, ?9, 3, ?1] to the plurality of sample values. The method then outputs the up-sampled value for use in coding a second layer of a higher resolution than the first layer. The up-sampled values may be for the 6/16 and ?6/16 phase offsets.

Abstract: A method of decoding JVET video, comprising receiving a bitstream indicating how a coding tree unit was partitioned into coding units according to a partitioning structure that allows nodes to be split according to a partitioning technique. An intra direction mode for a coding unit may be selected, as well as one or more of the plurality of reference lines to generate at least one predictor for the intra direction mode. A predictor may be generated from reference samples within each selected reference line by combining predicted pixel values based on a projected position on a main reference line in combination with predicted pixel values based on a projected position on a side reference line. The predicted pixel values are weighted according to a weight parameter, wherein the weight parameter is determined based on a shift conversion factor.

Abstract: A method for transforming high dynamic range (HDR) video data into standard dynamic range (SDR) video data and encoding the SDR video data so that the HDR video data may be recovered at the decoder includes generating a tone map describing a transformation applied to the HDR video data to generate the SDR video data. The generated tone map describes the transformation as the multiplication of each HDR pixel in the HDR video data by a scalar to generate the SDR video data. The tone map is then modeled as a reshaping transfer function and the HDR video data is processed by the reshaping transfer function to generate the SDR video data. The reshaping transfer function is then inverted and described in a self-referential metadata structure. The SDR video data is then encoded including the metadata structure defining the inverse reshaping transfer function.

Abstract: A method is provided for encoding a digital video to provide for improved color mapping.

Abstract: A system and method for regenerating high dynamic range (HDR) video data from encoded video data, extracts, from the encoded video data, a self-referential metadata structure specifying a video data reshaping transfer function. The video data reshaping transfer function is regenerated using data from the metadata structure and the extracted reshaping transfer function is used to generate the HDR video data by applying decoded video data values to the reshaping transfer function.

Abstract: A method of decoding JVET video, comprising defining a coding unit (CU) template within a decoded area of a video frame, the CU template being positioned above and/or to the left of a current decoding position for which data was intra predicted, defining a search window within the decoded area, the search window being adjacent to the CU template, generating a plurality of candidate prediction templates based on pixel values in the search window, each of the plurality of candidate prediction templates being generated using different intra prediction modes, calculating a matching cost between the CU template and each of the plurality of candidate prediction templates, selecting an intra prediction mode that generated the candidate prediction template that had the lowest matching cost relative to the CU template, and generating a prediction CU for the current decoding position based on the intra prediction mode.

Abstract: A layered video coding method is provided that selects data to upsamples from a base layer (BL) to provide to an enhancement (EL) to improved coding efficiency. The method determines a filter to determine an up-sampled value for a first layer for a video, wherein the filter has a set of coefficient values assigned to the filter. The up-sampled value is determined by applying the set of coefficient values to the plurality of sample values. The method then outputs the up-sampled value for use in coding a second enhancement layer (EL) of a higher resolution than the first layer. The up-sampled values may be for the 6/16 and ? 6/16 phase offsets.

Abstract: A Scalable Video Coding (SVC) process is provided for scalable video coding that takes into account color gamut primaries along with spatial resolution. The process provides for re-sampling using video color data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system to enable improved encoding and decoding in an enhancement layer (EL) or higher layers taking into account color conversion between layers. Examples of applicable SVC include MPEG-4 Advanced Video Coding (AVC) and High Efficiency Video Coding (HEVC). With the SVC process, video data expressed in one color gamut space can be used for prediction in encoding with a possibly different color space, and accommodation for different spatial resolution and bit-depth can be made as well.

Abstract: A method is provided for encoding a digital video to provide for improved color mapping.

Abstract: A method of encoding a digital video, comprising receiving a high dynamic range (HDR) master of a video, a reference standard dynamic range (SDR) master of the video, and target SDR display properties at an encoder, finding a color volume transform that converts HDR values from the HDR master into SDR values that, when converted for display on the target SDR display, are substantially similar to SDR values in the reference SDR master, converting HDR values from the HDR master into SDR values using the color volume transform, generating metadata items that identifies the color volume transform to decoders, and encoding the SDR values into a bitstream.

Abstract: A system and method for regenerating high dynamic range (HDR) video data from encoded video data, extracts, from the encoded video data, a self-referential metadata structure specifying a video data reshaping transfer function. The video data reshaping transfer function is regenerated using data from the metadata structure and the extracted reshaping transfer function is used to generate the HDR video data by applying decoded video data values to the reshaping transfer function.