Abstract: Techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. For example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. The tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. In some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. A decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. The decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Abstract: An image decoding apparatus that includes a motion compensation prediction circuit configured to conduct motion compensation prediction for each of blocks to be decoded by using the reconstructed image, an inverse transformation circuit configured to conduct inverse orthogonal transformation for the data of the blocks to be decoded, and a determination circuit configured to determine a filtering strength and whether or not to conduct filtering, with respect to each of the boundaries. In addition, the determining circuit is configured to determine filtering is conducted when at least one of the two adjacent blocks is intra-coded, and filtering is not conducted when both of the two adjacent blocks are not intra-coded, a non-zero transformation coefficient is not coded in both of the two adjacent blocks, the two adjacent blocks are predicted by the same reference frame, and an absolute value of a difference between motion vectors of the two adjacent blocks is smaller than a specified threshold value.

Abstract: An image decoding apparatus that includes a motion compensation prediction circuit configured to conduct motion compensation prediction for each of blocks to be decoded by using the reconstructed image, an inverse transformation circuit configured to conduct inverse orthogonal transformation for the data of the blocks to be decoded, and a determination circuit configured to determine a filtering strength and whether or not to conduct filtering, with respect to each of the boundaries. In addition, the determining circuit is configured to determine filtering is conducted when at least one of the two adjacent blocks is intra-coded, and filtering is not conducted when both of the two adjacent blocks are not intra-coded, a non-zero transformation coefficient is not coded in both of the two adjacent blocks, the two adjacent blocks are predicted by the same reference frame, and an absolute value of a difference between motion vectors of the two adjacent blocks is smaller than a specified threshold value.

Abstract: Techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. For example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. The tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. In some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. A decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. The decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Abstract: Techniques and tools for conversion operations between modules in a scalable video encoding tool or scalable video decoding tool are described. For example, given reconstructed base layer video in a low resolution format (e.g., 4:2:0 video with 8 bits per sample) an encoding tool and decoding tool adaptively filter the reconstructed base layer video and upsample its sample values to a higher sample depth (e.g., 10 bits per sample). The tools also adaptively scale chroma samples to a higher chroma sampling rate (e.g., 4:2:2). The adaptive filtering and chroma scaling help reduce energy in inter-layer residual video by making the reconstructed base layer video closer to input video, which typically makes compression of the inter-layer residual video more efficient. The encoding tool also remaps sample values of the inter-layer residual video to adjust dynamic range before encoding, and the decoding tool performs inverse remapping after decoding.

Abstract: An image decoding apparatus that includes a motion compensation prediction circuit configured to conduct motion compensation prediction for each of blocks to be decoded by using the reconstructed image, an inverse transformation circuit configured to conduct inverse orthogonal transformation for the data of the blocks to be decoded, and a determination circuit configured to determine a filtering strength and whether or not to conduct filtering, with respect to each of the boundaries. In addition, the determining circuit is configured to determine filtering is conducted when at least one of the two adjacent blocks is intra-coded, and filtering is not conducted when both of the two adjacent blocks are not intra-coded, a non-zero transformation coefficient is not coded in both of the two adjacent blocks, the two adjacent blocks are predicted by the same reference frame, and an absolute value of a difference between motion vectors of the two adjacent blocks is smaller than a specified threshold value.

Abstract: Embodiments of the present invention relate to methods and systems for ordering, communicating and applying pixel intra-prediction modes.

Abstract: An image decoding apparatus that includes a motion compensation prediction circuit configured to conduct motion compensation prediction for each of blocks to be decoded by using the reconstructed image, an inverse transformation circuit configured to conduct inverse orthogonal transformation for the data of the blocks to be decoded, and a determination circuit configured to determine a filtering strength and whether or not to conduct filtering, with respect to each of the boundaries. In addition, the determining circuit is configured to determine filtering is conducted when at least one of the two adjacent blocks is intra-coded, and filtering is not conducted when both of the two adjacent blocks are not intra-coded, a non-zero transformation coefficient is not coded in both of the two adjacent blocks, the two adjacent blocks are predicted by the same reference frame, and an absolute value of a difference between motion vectors of the two adjacent blocks is smaller than a specified threshold value.

Abstract: Adjacent regions are identified in an image. Coding parameters for the adjacent regions are identified. Selective filtering is performed at the region between the identified adjacent regions.

Abstract: Adjacent regions are identified in an image. Coding parameters for the adjacent regions are identified. Selective filtering is performed at the region between the identified adjacent regions.

Abstract: Embodiments of the present invention relate to methods and systems for ordering, communicating and applying pixel intra-prediction modes.

Abstract: Embodiments of the present invention relate to methods and systems for ordering, communicating and applying pixel intra-prediction modes.

Abstract: Adjacent regions are identified in an image. Coding parameters for the adjacent regions are identified. Selective filtering is performed at the region between the identified adjacent regions.

Abstract: Adjacent regions are identified in an image. Coding parameters for the adjacent regions are identified. Selective filtering is performed at the region between the identified adjacent regions.

Abstract: An image decoding apparatus that includes a motion compensation prediction circuit configured to conduct motion compensation prediction for each of blocks to be decoded by using the reconstructed image, an inverse transformation circuit configured to conduct inverse orthogonal transformation for the data of the blocks to be decoded, and a determination circuit configured to determine a filtering strength and whether or not to conduct filtering, with respect to each of the boundaries. In addition, the determining circuit is configured to determine filtering is conducted when at least one of the two adjacent blocks is intra-coded, and filtering is not conducted when both of the two adjacent blocks are not intra-coded, a non-zero transformation coefficient is not coded in both of the two adjacent blocks, the two adjacent blocks are predicted by the same reference frame, and an absolute value of a difference between motion vectors of the two adjacent blocks is smaller than a specified threshold value.

Abstract: Embodiments of the present invention relate to methods and systems for ordering, communicating and applying pixel intra-prediction modes.

Abstract: An image decoding apparatus that includes a motion compensation prediction circuit configured to conduct motion compensation prediction for each of blocks to be decoded by using the reconstructed image, an inverse transformation circuit configured to conduct inverse orthogonal transformation for the data of the blocks to be decoded, and a determination circuit configured to determine a filtering strength and whether or not to conduct filtering, with respect to each of the boundaries. In addition, the determining circuit is configured to determine filtering is conducted when at least one of the two adjacent blocks is intra-coded, and filtering is not conducted when both of the two adjacent blocks are not intra-coded, a non-zero transformation coefficient is not coded in both of the two adjacent blocks, the two adjacent blocks are predicted by the same reference frame, and an absolute value of a difference between motion vectors of the two adjacent blocks is smaller than a specified threshold value.

Abstract: Techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. For example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. The tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. In some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. A decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. The decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Abstract: Techniques and tools for encoding and decoding a block of frequency coefficients are presented. An encoder selects a scan order from multiple available scan orders and then applies the selected scan order to a two-dimensional matrix of transform coefficients, grouping non-zero values of the frequency coefficients together in a one-dimensional string. The encoder entropy encodes the one-dimensional string of coefficient values according to a multi-level nested set representation. In decoding, a decoder entropy decodes the one-dimensional string of coefficient values from the multi-level nested set representation. The decoder selects the scan order from among multiple available scan orders and then reorders the coefficients back into a two-dimensional matrix using the selected scan order.

Abstract: Adjacent regions are identified in an image. Coding parameters for the adjacent regions are identified. Selective filtering is performed at the region between the identified adjacent regions.