Abstract: The present disclosure relates to encoding and decoding video by employing texture coding. In particular, a texture region is identified within a video picture and a texture patch is determined for the texture region. Moreover, a first set of parameters is derived specifying weighting factors for reconstructing spectral coefficients of the texture region by fitting the texture region in a spectral domain to a first function of the texture patch, the first function being defined by the first set of parameters. The texture patch and the first set of parameters are then included into a bitstream which is output by an encoder and provided in this way to the decoder which reconstructs the texture based on the patch and the function applied to the patch.

Abstract: The present disclosure relates to encoding a decoding video employing texture coding. In particular, a texture region is identified within a video picture and a texture patch is determined for said region. Moreover, a set of parameters specifies luminance within the texture region (1001) by fitting the texture region samples to a two-dimensional polynomial function of the patch determined according to the set of parameters (1040); and/or motion within the texture region by fitting motion estimated between the texture region of the video picture and an adjacent picture to a two-dimensional polynomial The texture patch and the first set of parameters are then included into a bitstream which is output of the encoder and provided in this way to the decoder which reconstructs the texture based on the patch and the function applied to the patch.

Abstract: The present disclosure relates to encoding and decoding video by employing texture coding. In particular, a texture region is identified within a video picture and a texture patch is determined for the texture region. Moreover, a first set of parameters is derived specifying weighting factors for reconstructing spectral coefficients of the texture region by fitting the texture region in a spectral domain to a first function of the texture patch, the first function being defined by the first set of parameters. The texture patch and the first set of parameters are then included into a bitstream which is output by an encoder and provided in this way to the decoder which reconstructs the texture based on the patch and the function applied to the patch.

Abstract: The present disclosure relates to encoding a decoding video employing texture coding. In particular, a texture region is identified within a video picture and a texture patch is determined for said region. Moreover, a set of parameters specifies luminance within the texture region (1001) by fitting the texture region samples to a two-dimensional polynomial function of the patch determined according to the set of parameters (1040); and/or motion within the texture region by fitting motion estimated between the texture region of the video picture and an adjacent picture to a two-dimensional polynomial The texture patch and the first set of parameters are then included into a bitstream which is output of the encoder and provided in this way to the decoder which reconstructs the texture based on the patch and the function applied to the patch.

Abstract: A texture region is identified within a video picture, and a texture patch is determined for the region. Clustering is performed to identify a texture region within the video image. The clustering is further refined. In particular, one or more brightness parameters of a polynomial is determined by fitting the polynomial to the identified texture region. In the identified texture region, samples are detected with a distance to the fitted polynomial exceeding a first threshold. A refined texture region is identified as the texture region excluding one or more of the detected samples. The refined texture region is encoded separately from portions of the video image not belonging to the refined texture region.

Abstract: Systems, methods, and instrumentalities are disclosed for increasing the efficiency of inter-layer prediction using an enhanced inter-layer reference (EILR) picture as a reference picture for inter-layer prediction for encoding an enhancement layer. A luminance component and chrominance components of an inter-layer reference (ILR) picture may be enhanced. High frequency information may be obtained by processing an inter-layer motion compensated (ILMC) picture with a high pass filter. Low frequency information may be obtained by processing an ILR picture with a low pass filter. The EILR picture may be generated as a function of the high frequency information, the low frequency information, and/or the ILR picture.

Abstract: Systems, methods, and instrumentalities are disclosed for increasing the efficiency of inter-layer prediction using an enhanced inter-layer reference (EILR) picture as a reference picture for inter-layer prediction for encoding an enhancement layer. A luminance component and chrominance components of an inter-layer reference (ILR) picture may be enhanced. High frequency information may be obtained by processing an inter-layer motion compensated (ILMC) picture with a high pass filter. Low frequency information may be obtained by processing an ILR picture with a low pass filter. The EILR picture may be generated as a function of the high frequency information, the low frequency information, and/or the ILR picture.

Abstract: Systems, methods, and instrumentalities are disclosed for increasing the efficiency of inter-layer prediction using an enhanced inter-layer reference (EILR) picture as a reference picture for inter-layer prediction for encoding an enhancement layer. A luminance component and chrominance components of an inter-layer reference (ILR) picture may be enhanced. High frequency information may be obtained by processing an inter-layer motion compensated (ILMC) picture with a high pass filter. Low frequency information may be obtained by processing an ILR picture with a low pass filter. The EILR picture may be generated as a function of the high frequency information, the low frequency information, and/or the ILR picture.

Abstract: Coding of screen content includes identifying corresponding areas in one or more previously coded frames to code unchanged areas in current frames. An unchanged area in a current frame is coded by copying a corresponding area from a previously coded frame or several previously coded frames. Usage of a copy mode to be applied to the unchanged areas is signaled in an encoding bitstream. The copy mode can be signaled for each unchanged area or a single copy mode is signaled for a group of unchanged areas. The copy mode can be automatically applied to one or more unchanged areas contiguous to the group of unchanged areas without further signaling the copy mode. Copying the corresponding area from the previously coded frame includes copying palette entries from the previously coded frame. Palette entries copied from the previously coded frame are reordered according to frequency of appearance.

Abstract: An apparatus comprising a processor configured to obtain mixed content video comprising images comprising computer generated screen content (SC) and natural content (NC), partition the images into SC areas and NC areas, and encode the images by encoding the SC areas with SC coding tools and encoding the NC areas with NC coding tools, and a transmitter coupled to the processor, wherein the transmitter is configured to transmit data to a client device, the data comprising the encoded images and an indication of boundaries of the partition.