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