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Adaptive Frequency Weighting for High-Performance Video Coding

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4 Author(s)
Jianwen Chen ; Department of Electrical Engineering, University of California at Los Angeles, Los Angeles, CA, USA ; Jianhua Zheng ; Feng Xu ; John Villasenor

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.

Published in:

IEEE Transactions on Circuits and Systems for Video Technology  (Volume:22 ,  Issue: 7 )