Abstract: Methods and systems for using a video data compression algorithm with parallel processing capability are provided. AC and DC coefficients associated with blocks of the video data, along with quantization errors, may be encoded using a variable length code. The quantization errors may be encoded using a scheme that assigns priorities to the quantization errors based on the position of their associated AC and/or DC coefficients in a block of the video data. The quantization errors may be appended to a bitstream in an order based on these priorities that enables parallel coding of the quantization errors and AC and DC coefficients in each block of video data. Data packing schemes may also be applied to the coded data to maximize the use of bandwidth resources in encoding and/or decoding.

Abstract: Embodiments of the present invention provide graphic processing techniques and configurations including an apparatus comprising a storage medium having stored therein a table comprising information about respective positions and sizes of a number of rectangular blocks, the rectangular blocks to substantially form at least one plane having an arbitrary shape object, and at least one overlay engine operatively coupled with the table and associated with the at least one plane to request the information about the respective positions and the sizes of the number of rectangular blocks to provide graphics overlay of the arbitrary shape object. Other embodiments may be described and/or claimed.

Abstract: A system including a binarization module, a prediction module, and a shifting module. The encoding module is configured to encode symbols using context-adaptive binary arithmetic coding, in which the symbols are generated by binarizing a syntax element. The prediction module is configured to generate a prediction for a number of renormalizations to be performed to renormalize an interval range when encoding one of the symbols. The shifting module is configured to generate a renormalized interval range by shifting the binarized syntax element R times, where R is a number of leading zeros before a 1 in the binarized syntax element. The encoding module is configured to encode a next symbol following the one of the symbols based on the renormalized interval range.

Abstract: Methods and systems for using a video data compression algorithm with parallel processing capability are provided. AC and DC coefficients associated with blocks of the video data, along with quantization errors, may be encoded using a variable length code. The quantization errors may be encoded using a scheme that assigns priorities to the quantization errors based on the position of their associated AC and/or DC coefficients in a block of the video data. The quantization errors may be appended to a bitstream in an order based on these priorities that enables parallel coding of the quantization errors and AC and DC coefficients in each block of video data. Data packing schemes may also be applied to the coded data to maximize the use of bandwidth resources in encoding and/or decoding.

Abstract: A system including a binarization module, an encoding module, and a prediction module. The binarization module is configured to binarize a syntax element and to generate symbols. The encoding module is configured to encode the symbols using context-adaptive binary arithmetic coding (CABAC). The prediction module is configured to generate a prediction for a number of renormalizations to be performed to renormalize an interval range when encoding one of the symbols. The encoding module encodes a next symbol following the one of the symbols based on the prediction before renormalization of the interval range is actually completed.