Comparison of context-based adaptive binary arithmetic coders in video compression

Author

Mrak, Marta ; Marpe, Detlev ; Grgic, Sonja

Author_Institution

Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia

Volume

1

fYear

2003

fDate

2-5 July 2003

Firstpage

277

Abstract

A comparison of two context-modeling methods, CABAC and GRASP, is presented with regard to applications in video compression. Both context-based entropy coding methods are tested for various probability estimation techniques, for different sources, and for different quantization parameters by using the test model of the H.264/AVC video coding standard. Our experimental results show that GRASP provides a significant gain over CABAC, especially for intra frames coded at medium to high bit-rates.

Keywords

arithmetic codes; binary codes; entropy codes; probability; vector quantisation; video coding; CABAC; GRASP; H.264/AVC video coding standard; arithmetic coders; context-based adaptive binary arithmetic coding method; context-modeling methods; entropy coding methods; growing by reordering and selection by pruning method; probability estimation techniques; quantization parameters; video compression; Arithmetic; Context modeling; Entropy coding; Image coding; Image processing; Probability; Statistics; Testing; Video coding; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on

Print_ISBN

953-184-054-7

Type

conf

DOI

10.1109/VIPMC.2003.1220475

Filename

1220475