Abstract: A system and a method are disclosed for encoding and decoding a video frame using spatial prediction. The video frame is separated into a plurality of image blocks, and a plurality of spatial predictors is created for an image block using methods well-known in the art. The set of predictors is reduced to a set containing fewer spatial predictors before continuing the coding process for the block. The reduction of spatial predictors involves comparing a plurality of spatial predictors in a predetermined sequence and grouping or processing a subset of the spatial predictors to a set of representative spatial predictors.

Abstract: A system and a method are disclosed for encoding and decoding a video frame using spatial prediction. The video frame is separated into a plurality of image blocks, and a plurality of spatial predictors is created for an image block using methods well-known in the art. The set of predictors is reduced to a set containing fewer spatial predictors before continuing the coding process for the block. The reduction of spatial predictors involves comparing a plurality of spatial predictors and grouping or processing a subset of the spatial predictors to a set of representative spatial predictors. Because the number of spatial predictors is reduced, fewer bits may be used in a bit stream to identify a chosen spatial predictor, thus improving the efficiency of the coding process.

Abstract: An offline quantization module is used to optimize a rate-distortion task. The offline quantization module calculates a quantization kernel for a range of computable block parameters and a range of rate-distortion slope values representing the rate and complexity of a coded video. A quantization kernel is utilized by an encoder application for content-adaptive quantization of transformed coefficients. The quantization kernel includes a block data model, a quality metric model, and an entropy coding model. The quantization kernel is suitable for existing and future coding standards. A rate-distortion slope selection process is performed on a per-frame basis for improved rate-distortion performance. The slope is selected by referring to the block model parameter value within the quantization kernel.

Abstract: A system and a method are disclosed for encoding and decoding a video frame using spatial prediction. The video frame is separated into a plurality of image blocks, and a plurality of spatial predictors is created for an image block using methods well-known in the art. The set of predictors is reduced to a set containing fewer spatial predictors before continuing the coding process for the block. The reduction of spatial predictors involves comparing a plurality of spatial predictors in a predetermined sequence and grouping or processing a subset of the spatial predictors to a set of representative spatial predictors.

Abstract: A system and a method are disclosed for encoding and decoding a video frame using spatial prediction. The video frame is separated into a plurality of image blocks, and a plurality of spatial predictors is created for an image block using methods well-known in the art. The set of predictors is reduced to a set containing fewer spatial predictors before continuing the coding process for the block. The reduction of spatial predictors involves comparing a plurality of spatial predictors and grouping or processing a subset of the spatial predictors to a set of representative spatial predictors. Because the number of spatial predictors is reduced, fewer bits may be used in a bit stream to identify a chosen spatial predictor, thus improving the efficiency of the coding process.

Abstract: An offline quantization module is used to optimize a rate-distortion task. The offline quantization module calculates a quantization kernel for a range of computable block parameters and a range of rate-distortion slope values representing the rate and complexity of a coded video. A quantization kernel is utilized by an encoder application for content-adaptive quantization of transformed coefficients. The quantization kernel includes a block data model, a quality metric model, and an entropy coding model. The quantization kernel is suitable for existing and future coding standards. A rate-distortion slope selection process is performed on a per-frame basis for improved rate-distortion performance. The slope is selected by referring to the block model parameter value within the quantization kernel.