DocumentCode :
1461008
Title :
Adaptive Frequency Weighting for High-Performance Video Coding
Author :
Chen, Jianwen ; Zheng, Jianhua ; Xu, Feng ; Villasenor, John
Author_Institution :
Dept. of Electr. Eng., Univ. of California at Los Angeles, Los Angeles, CA, USA
Volume :
22
Issue :
7
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
1027
Lastpage :
1036
Abstract :
The benefits of utilizing the spatial-frequency sensitivity of the human visual system in video coding have been known for decades and are incorporated into video standards, such as MPEG2, MPEG4, and H.264/AVC, as well as into still image-coding standards, such as JPEG and JPEG-2000. However, all of these standards utilize frequency weighting that is adaptive only at the picture level. In contrast with such picture-level adaptive frequency-weighting algorithms, we describe a coding approach in which a macroblock-level adaptive frequency-weighting (MBAFW) algorithm is used. We show that for the bitrate, quality levels, and resolutions typically associated with high-definition video, MBAFW can lead to overall bitrate reductions typically in the 5%-9% range over the methods used in state-of-the-art video-coding standards.
Keywords :
adaptive signal processing; video coding; high definition video; high performance video coding; human visual system; macroblock level adaptive frequency weighting algorithm; quality level; spatial-frequency sensitivity; Image edge detection; Inductors; Quantization; Sensitivity; Standards; Video coding; Visualization; Frequency weighting; human visual system (HVS); perceptual coding; quantization matrix;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2012.2189671
Filename :
6162973
Link To Document :
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