Patent classifications
H04N19/625
SYSTEMS AND METHODS FOR DETERMINING TOKEN RATES WITHIN A RATE-DISTORTION OPTIMIZATION HARDWARE PIPELINE
A disclosed method may include storing, within a hardware memory device included as part of a rate—distortion optimization (RDO) hardware pipeline, at least one transform unit table that (1) is pregenerated from a seed probability table for transformation of video data in accordance with a video encoding standard, (2) corresponds to a transform operation supported by the video encoding standard, and (3) corresponds to a transform unit included in the RDO hardware pipeline. The method may also include determining, by accessing the transform unit table, an RDO token rate for an encoding of the video data by a hardware video encoding pipeline that includes the RDO hardware pipeline, and selecting, based on the RDO token rate, a transform operation for the encoding of the video data.
SYSTEMS AND METHODS FOR DETERMINING TOKEN RATES WITHIN A RATE-DISTORTION OPTIMIZATION HARDWARE PIPELINE
A disclosed method may include storing, within a hardware memory device included as part of a rate—distortion optimization (RDO) hardware pipeline, at least one transform unit table that (1) is pregenerated from a seed probability table for transformation of video data in accordance with a video encoding standard, (2) corresponds to a transform operation supported by the video encoding standard, and (3) corresponds to a transform unit included in the RDO hardware pipeline. The method may also include determining, by accessing the transform unit table, an RDO token rate for an encoding of the video data by a hardware video encoding pipeline that includes the RDO hardware pipeline, and selecting, based on the RDO token rate, a transform operation for the encoding of the video data.
HARDWARE PIPELINES FOR RATE-DISTORTION OPTIMIZATION (RDO) THAT SUPPORT MULTIPLE CODECS
A disclosed system may include a hardware distortion data pipeline that may include (1) a quantization module that generates a quantized data set, (2) an inverse quantization module that generates, from the quantized data set, an inverse quantized data set by executing an inverse quantization of the quantized data set, and (3) an inverse transformation module that generates an inversely transformed data set by executing an inverse transformation of the inverse quantized data set. The system may also include a hardware determination pipeline that determines a distortion metric based on the inversely transformed data set and the residual frame data set, and a hardware token rate pipeline that determines, based on the quantized data set, a token rate for an encoding of the residual frame data set via a video encoding pipeline. Various other methods, systems, and computer-readable media are also disclosed.
HARDWARE PIPELINES FOR RATE-DISTORTION OPTIMIZATION (RDO) THAT SUPPORT MULTIPLE CODECS
A disclosed system may include a hardware distortion data pipeline that may include (1) a quantization module that generates a quantized data set, (2) an inverse quantization module that generates, from the quantized data set, an inverse quantized data set by executing an inverse quantization of the quantized data set, and (3) an inverse transformation module that generates an inversely transformed data set by executing an inverse transformation of the inverse quantized data set. The system may also include a hardware determination pipeline that determines a distortion metric based on the inversely transformed data set and the residual frame data set, and a hardware token rate pipeline that determines, based on the quantized data set, a token rate for an encoding of the residual frame data set via a video encoding pipeline. Various other methods, systems, and computer-readable media are also disclosed.
Method and apparatus for improved compound orthonormal transform
A method of controlling residual coding for decoding or encoding of a video sequence, is performed by at least one processor and includes determining whether a small transform size of a primary transform is to be used for the residual coding of a coded block of the video sequence. The method further includes based on the small transform size of the primary transform being determined to be used, identifying, as the primary transform, a first transform set including discrete sine transform (DST)-4 and discrete cosine transform (DCT)-4, based on the small transform size of the primary transform being determined to not be used, identifying, as the primary transform, a second transform set including DST-7 and DCT-8, and performing the residual coding of the coded block, using the identified primary transform.
Method and apparatus for improved compound orthonormal transform
A method of controlling residual coding for decoding or encoding of a video sequence, is performed by at least one processor and includes determining whether a small transform size of a primary transform is to be used for the residual coding of a coded block of the video sequence. The method further includes based on the small transform size of the primary transform being determined to be used, identifying, as the primary transform, a first transform set including discrete sine transform (DST)-4 and discrete cosine transform (DCT)-4, based on the small transform size of the primary transform being determined to not be used, identifying, as the primary transform, a second transform set including DST-7 and DCT-8, and performing the residual coding of the coded block, using the identified primary transform.
Encoder, decoder, encoding method, and decoding method
A decoder comprises circuitry and memory. The circuitry, using the memory, in operation, determines a number of first pixels and a number of second pixels used in a deblocking filter process, wherein the first pixels are located at an upper side of a block boundary and the second pixels are located at a lower side of the block boundary, and performs the deblocking filter process on the block boundary. The number of the first pixels and the number of the second pixels are selected from among candidates, wherein the candidates include at least 4 and M larger than 4. Response to a location of the block boundary being a predetermined location, the number of the first pixels used in the deblocking filter process is limited to be 4.
Coefficient dependent coding of transform matrix selection
A video processing method includes checking, during a conversion from a coded representation of a current video block to the current video block, a position of a last non-zero coefficient of the current video block, wherein the position is relative to a top-left position of the current video block; and performing a determination, based on the position, whether or not to parse a syntax element which signals a transform information in the coded representation.
Coefficient dependent coding of transform matrix selection
A video processing method includes checking, during a conversion from a coded representation of a current video block to the current video block, a position of a last non-zero coefficient of the current video block, wherein the position is relative to a top-left position of the current video block; and performing a determination, based on the position, whether or not to parse a syntax element which signals a transform information in the coded representation.
Method and apparatus for reconstructing 360-degree image according to projection format
Disclosed are methods and apparatuses for image data encoding/decoding. A method for decoding a 360-degree image includes the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; adding the generated prediction image to a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format. Therefore, the performance of image data compression can be improved.