Context modeling techniques for transform coefficient level coding

Abstract

In one embodiment, a method for encoding video data is provided that includes receiving a transform unit comprising a two-dimensional array of transform coefficients and processing the transform coefficients of the two-dimensional array along a single-level scan order. The processing includes selecting, for each non-zero transform coefficient along the single-level scan order, one or more context models for encoding an absolute level of the non-zero transform coefficient, where the selecting is based on one or more transform coefficients previously encoded along the single-level scan order.

Description

[0001] Cross References to Related Applications [0002] This application requires U.S. Provisional Application No. 61 / 508,595, filed July 15, 2011, entitled "CONTEXT MODELING FOR LEVEL CODING IN CABAC," and titled "WAVEFRONT SCAN AND RELATED CONTEXT MODELING", the benefit and priority of U.S. Provisional Application No. 61 / 557,299, filed November 8, 2011. The entire contents of these applications are hereby incorporated by reference for all purposes. Background technique [0003] Video compression (ie, encoding) systems generally employ block processing for most compression operations. A block is a group of contiguous pixels and is considered a "coding unit" for compression purposes. In theory, a larger CU size is preferred to exploit the correlation among intermediate neighboring pixels. Certain video coding standards such as Moving Picture Experts Group (MPEG)-1, MPEG-2 and MPEG-4 use coding unit sizes (referred to as macroblocks) of 4x4, 8x8 or 16x16 pixels. [0004] H...

AI Technical Summary

Problems solved by technology

However, context model selection (referred to as context modeling) in CABAC is complex and requires significantly more processing power for encoding / coding than other compression schemes

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