DocumentCode :
3400982
Title :
Efficient quantization parameter coding based on intra/inter prediction for visual quality conscious video coders
Author :
Aoki, Hidetaka
Author_Institution :
Inf. & Media Process. Labs., NEC Corp., Kawasaki, Japan
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
193
Lastpage :
196
Abstract :
This paper presents an efficient method for coding quantization parameters (QPs) in video coding. Modern real-world video coders modulate QPs within a frame depending on local perceptual sensitivity for the human visual system, aiming to improve subjective quality. Frequent QP modulation increases the code amount of QPs and possibly counteracts subjective quality improvement, and therefore efficient QP coding is important. Based on the fact that similar textures have similar perceptual sensitivities for the human visual system, the proposed method predicts a QP of each coding block from spatially/temporally neighboring blocks referred in intra/ inter prediction. By leveraging coded information of intra/ inter prediction, the proposed method effectively predicts a probable QP from neighboring blocks without any additional bits. Experimental results have shown that the proposed method improves coding efficiency of QPs by from 16% to 20%, whereas the improvement with the conventional method is from 0.2% to 6.9%.
Keywords :
data compression; image texture; quantisation (signal); video coding; QP coding; QP modulation; coding block; human visual system; intra prediction; nter prediction; quantization parameter coding; spatially neighboring blocks; temporally neighboring blocks; video coding; video compression schemes; visual quality conscious video coders; Abstracts; Artificial intelligence; Encoding; Transform coding; Visualization; World Wide Web; HEVC; Video coding; adaptive quantization; predictive coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6466828
Filename :
6466828
Link To Document :
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