Open AccessOptimized Context-Adaptive Binary Arithmetic Coder in Video Compression Standard Without Probability Estimation
Author(s) -
S.T. Mrudula,
K. E. Srinivasa Murthy,
M. Nagendra Prasad
Publication year - 2022
Publication title -
mathematical modelling and engineering problems/mathematical modelling of engineering problems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.26
H-Index - 11
eISSN - 2369-0747
pISSN - 2369-0739
DOI - 10.18280/mmep.090222
Subject(s) - context adaptive binary arithmetic coding , computer science , data compression , context adaptive variable length coding , binary number , arithmetic coding , arithmetic , algorithm , coding (social sciences) , video decoder , context (archaeology) , decoding methods , real time computing , theoretical computer science , mathematics , statistics , paleontology , biology
CABAC is a Context Adaptive Binary Arithmetic Coder utilized in novel AVC/H.264 of video standard. AC (arithmetic coding) permits important enhancement in the compression. However, the complexity of implementation is main drawback because of slowness and hardware cost. In this paper, we propose the implementation of MPEG4/H-264 AVC against M-decoder without PE (Probability Estimation). Furthermore, in order to estimate an algorithm, we have compared many existing methods, and the comparison takes place based on power dissipation and device utilization.