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 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 system and method for coding video in which deblocking artifacts are reduced by using modified filtering that is based, at least in part on pixel intensity associated with a coding unit, such that filtering levels are increased as pixel intensity increases. In some embodiments, an offset value or indicator of an offset value for parameters associated with deblocking filter parameters can be associated with a filtering level that is based at least in part on an intensity value.

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 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 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 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 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 system and method for coding video in which deblocking artifacts are reduced by using modified filtering that is based, at least in part on pixel intensity associated with a coding unit, such that filtering levels are increased as pixel intensity increases. In some embodiments, an offset value or indicator of an offset value for parameters associated with deblocking filter parameters can be associated with a filtering level that is based at least in part on an intensity value.

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 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 system and method for coding video in which deblocking artifacts are reduced by using modified filtering that is based, at least in part on pixel intensity associated with a coding unit, such that filtering levels are increased as pixel intensity increases. In some embodiments, an offset value or indicator of an offset value for parameters associated with deblocking filter parameters can be associated with a filtering level that is based at least in part on an intensity value.

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 sampling filter process 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 using adaptive phase shifting to improve quality in Scalable High efficiency Video Coding (SHVC). In order to compensate for phase offsets introduced by, downsampling an appropriate phase offset adjustment is made for upsampling in SHVC with an appropriate offset included for proper luma/chroma color space positions. In one approach the luma/chroma phase offset is specified and a filter is selected to apply the appropriate phase change.