Abstract: A system for decoding a stream of compressed digital video images comprises a graphics accelerator for reading the stream of compressed digital video images, creating, starting from said stream of compressed digital video images, three-dimensional scenes to be rendered, and converting the three-dimensional scenes to be rendered into decoded video images. The graphics accelerator is preferentially configured as pipeline selectively switchable between operation in a graphics context and operation for decoding the stream of video images. The graphics accelerator is controllable during operation for decoding the stream of compressed digital video images via a set of application programming interfaces comprising, in addition to new APIs, also standard APIs for operation of the graphics accelerator in a graphics context.

Abstract: A system for decoding a stream of compressed digital video images comprises a graphics accelerator for reading the stream of compressed digital video images, creating, starting from said stream of compressed digital video images, three-dimensional scenes to be rendered, and converting the three-dimensional scenes to be rendered into decoded video images. The graphics accelerator is preferentially configured as pipeline selectively switchable between operation in a graphics context and operation for decoding the stream of video images. The graphics accelerator is controllable during operation for decoding the stream of compressed digital video images via a set of application programming interfaces comprising, in addition to new APIs, also standard APIs for operation of the graphics accelerator in a graphics context.

Abstract: A method for texture compressing images having a plurality of color components (R, G, B) includes defining color representatives for use in encoding by defining groups of colors for each color component (R,G,B), and selecting a representative median color for the group. Each group ideally includes 3 to 15 increasing colors. The method includes computing, for each group, an error between each member of the group and the representative median color of the group. Typically, the error is computed as the sum of the absolute differences (SAD) between each member of the group and the representative median color of the group.

Abstract: A method for texture compressing images having a plurality of color components (R, G, B), includes decomposing the images in sub-blocks each including only one color component. At least one first predictor is defined for each sub-block and a respective set of prediction differences is computed for each sub-block. Then the prediction differences for each sub-block are sorted, and a look-up prediction differences palette is set up by defining a look-up prediction error palette. A predetermined code is associated with each column of the error palette.

Abstract: A method for texture compressing images having a plurality of color components (R, G, B), includes decomposing the images in sub-blocks each including only one color component. At least one first predictor is defined for each sub-block and a respective set of prediction differences is computed for each sub-block. Then the prediction differences for each sub-block are sorted, and a look-up prediction differences palette is set up by defining a look-up prediction error palette. A predetermined code is associated with each column of the error palette.

Abstract: A method for texture compressing images having a plurality of color components (R, G, B) includes defining color representatives for use in encoding by defining groups of colors for each color component (R,G,B), and selecting a representative median color for the group. Each group ideally includes 3 to 15 increasing colors. The method includes computing, for each group, an error between each member of the group and the representative median color of the group. Typically, the error is computed as the sum of the absolute differences (SAD) between each member of the group and the representative median color of the group.