NDLI: Improving H.264/AVC video coding with adaptive coefficient suppression

Content Provider	IEEE Xplore Digital Library
Author	Zhengyi Luo Li Song Shibao Zheng
Copyright Year	2010
Description	Author affiliation: Institute of Image Communication & Information Processing, Shanghai Jiao Tong University, Shanghai, 200240, China (Zhengyi Luo; Li Song; Shibao Zheng)
Abstract	Video coding has been widely adopted to achieve pleasant video quality at constrained bitrate. In this paper, adaptive frequency coefficient suppression directed by Human Visual System (HVS) is presented for H.264 video coding. Firstly, starting from Just Noticeable Distortion (JND) models for the classic DCT domain, we deduce a JND threshold for the H.264 transform domain with decent adaptation. Then the resultant threshold is used to adaptively suppress the transform coefficients of prediction residuals. It should be noted that our scheme is fully compatible with the H.264 standard. And experimental results show that compared to normal methods, significant bitrate reduction can be obtained by our scheme at similar subjective quality.
Starting Page	945
Ending Page	948
File Size	808351
Page Count	4
File Format	PDF
ISBN	9781424453085
DOI	10.1109/ISCAS.2010.5537392
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatic voltage control Video coding Image coding Video compression Humans Discrete cosine transforms Frequency Bit rate Visual system Spatial resolution
Content Type	Text
Resource Type	Article

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