Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: Systems and methods for encoding and decoding video data are disclosed. The method can include signaling in syntax information a picture parameter set (PPS) indicating a first tile size partition. The method can also include storing a plurality of tile size partitions and associated PPS identifiers (PPSID) in a database. If a second tile size partition for a second frame of video data is the same as a tile size partition stored in the database, the method can include signaling the PPSID for the corresponding tile size partition. If the second tile size partition is not the same as a tile size partition stored in the database, the method can include signaling a new PPS with the second tile size partition. The system can provide an encoder and a decoder for processing the video data encoded by the method for encoding video data.

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: A device for encoding video data may be configured to encode video data according to a set of sample adaptive offset (SAO) types; perform a plurality of coding passes to test a subset of the SAO types for a first block of video data, wherein the subset is smaller than the set; select from the subset of SAO types an SAO type for the first block of video data; and generate for inclusion in an encoded bitstream, information for identifying the selected SAO type for the first block.

Abstract: The disclosure provides a system and methods for encoding video data. The method can include storing a data structure in a memory, the data structure having a first plurality of data elements arranged corresponding to a second plurality of data elements of a first video data block, and defining a periphery, the data structure further including data related to all of a smallest prediction unit (PU) for the first video data block. The method can also include increasing a size of the data structure in the memory by adding a plurality of extended units along the periphery of the first plurality of data elements, each extended unit having data related to a smallest data element of the first video data block, the extended units being set to default values. The method can also comprise encoding the first video data block based on the data structure.

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: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: A video encoding device comprises a memory configured and at least one processor configured to: determine whether a metric meets a condition based on statistics, wherein the statistics are associated with a first video encoding mode checking order and a second video encoding mode checking order, responsive to determining that the metric meets the condition, select a first encoding mode checking order to encode the first block of video data responsive to determining that the condition is not met, select a second encoding mode checking order different from the first encoding mode checking order to encode the first block of video data, update the statistics based on the selected first or second encoding mode checking order, and encode a second block of video data, based on the updated statistics, and using the first or second mode checking order.

Abstract: A system, a method and computer-readable media for encoding image data into a compressed bitstream. A mode selection component is configured to select a mode of operation for use in encoding image data. A spatial mode encoder is utilized when the mode selection component selects a spatial mode of operation. The spatial mode encoder is configured to encode the image data into packets by organizing the image data in accordance with a spatial partitioning. A frequency mode encoder is utilized when the mode selection component selects a frequency mode of operation. The frequency mode encoder is configured to encode the image data into packets by organizing the image data in accordance with a frequency ordering.

Abstract: A device for encoding video data may be configured to encode video data according to a set of sample adaptive offset (SAO) types; perform a plurality of coding passes to test a subset of the SAO types for a first block of video data, wherein the subset is smaller than the set; select from the subset of SAO types an SAO type for the first block of video data; and generate for inclusion in an encoded bitstream, information for identifying the selected SAO type for the first block.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: A video encoding device comprises a memory configured to store video data and at least one processor configured to: select one of a full rate-distortion (RD) checking scheme or a fast RD checking scheme, determine an RD cost associated with encoding a block of the video data based on the selected full RD checking scheme or fast RD checking scheme, determine a partitioning scheme for the block based on the determined RD cost, and encode the block using the determined partitioning scheme based on the determined RD cost.

Abstract: A device for encoding video data may be configured to encode video data according to a set of sample adaptive offset (SAO) types; perform a plurality of coding passes to test a subset of the SAO types for a first block of video data, wherein the subset is smaller than the set; select from the subset of SAO types an SAO type for the first block of video data; and generate for inclusion in an encoded bitstream, information for identifying the selected SAO type for the first block.

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: 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: A system, a method and computer-readable media for encoding image data into a compressed bitstream. A mode selection component is configured to select a mode of operation for use in encoding image data. A spatial mode encoder is utilized when the mode selection component selects a spatial mode of operation. The spatial mode encoder is configured to encode the image data into packets by organizing the image data in accordance with a spatial partitioning. A frequency mode encoder is utilized when the mode selection component selects a frequency mode of operation. The frequency mode encoder is configured to encode the image data into packets by organizing the image data in accordance with a frequency ordering.

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: 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.