DocumentCode
1656854
Title
Content adaptive quantization scheme based on visual perception for video coding
Author
Zheng Han ; Kun Tang ; Huijuan Cui
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing
fYear
2008
Firstpage
1267
Lastpage
1270
Abstract
This paper proposes a new quantization scheme which fully exploits the human visual perception and the local eye sensitivity characteristic in two layers. This new quantization scheme classifies macro-blocks into different categories and classifies frequency coefficients in the same block into different frequency strips, then adjusts the quantization parameter according to different categories or strips to reserve more sensitive details of video. Experiments results show that the new quantization scheme can achieve better subjective video quality with lower bitrates.
Keywords
data compression; image classification; quantisation (signal); video coding; visual perception; content adaptive quantization scheme; human visual perception; macro-block classification; video coding; Eyes; Frequency; Humans; Laboratories; Quantization; Strips; Video coding; Video sequences; Visual perception; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2178-7
Electronic_ISBN
978-1-4244-2179-4
Type
conf
DOI
10.1109/ICOSP.2008.4697362
Filename
4697362
Link To Document