An adaptive quantization algorithm for MPEG-2 video coding

Author

Luo, Lijun ; Zou, Cairong ; He, Zhenya ; Shirakawa, Isao

Author_Institution

Dept. of Radio Eng., Southeast Univ., Nanjing, China

Volume

5

fYear

1998

Firstpage

2841

Abstract

An adaptive quantization algorithm for MPEG-2 video coding using a neural network is presented in this paper. The proposed algorithm uses a backpropagation neural network to divide the macroblock activity into one of four categories: flat, edge, texture, fine-texture, and thus the macroblock can be quantized adaptively according to the human vision system (HVS) sensitivity. Experimental results show that this method can reduce block artifacts of flat area and distortion at edge effectively. Meanwhile, the picture subjective quality and objective quality of each frame are improved

Keywords

adaptive codes; backpropagation; image sequences; image texture; neural nets; quantisation (signal); video coding; visual perception; HVS sensitivity; MPEG-2 video coding; adaptive quantization algorithm; backpropagation neural network; block artifacts; edge category; fine-texture category; flat area category; human vision system sensitivity; macroblock activity; objective quality; subjective quality; texture category; HDTV; Helium; Humans; Image coding; Machine vision; Neural networks; Quantization; TV; Video coding; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.678116

Filename

678116