Abstract
The paper presents Improved Adaptive Arithmetic
Coding algorithm for application in future video compression
technology. The proposed solution is based on the Context-based
Adaptive Binary Arithmetic Coding (CABAC) technique and
uses the authors mechanism of symbols probability estimation
that exploits Context-Tree Weighting (CTW) technique. This
paper proposes the version of the algorithm, that allows an
arbitrary selection of depth D of context trees, when activating
the algorithm in the framework of the AVC or HEVC video
encoders. The algorithm has been tested in terms of coding
efficiency of data and its computational complexity. Results
showed, that depending on depth of context trees from 0.1% to
0.86% reduction of bitrate is achieved, when using the algorithm
in the HEVC video encoder and 0.4% to 2.3% compression gain
in the case of the AVC. The new solution increases complexity of
entropy encoder itself, however, this does not cause an increase
of the complexity of the whole video encoder.
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