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CLC number: TN919.8

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Received: 2008-09-13

Revision Accepted: 2009-02-23

Crosschecked: 2009-06-10

Cited: 6

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.8 P.1169~1176

http://doi.org/10.1631/jzus.A0820660


A network-aware error-resilient method using prioritized intra refresh for wireless video communications


Author(s):  Han-jie MA, Fan ZHOU, Rong-xin JIANG, Yao-wu CHEN

Affiliation(s):  Institute of Advanced Digital Technology and Instrumentation, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   hanjie.ma@gmail.com, fanzhou@mail.bme.zju.edu.cn

Key Words:  Intra refresh, Distortion, Perceptual weight, Error-sensitivity, Channel state information (CSI)


Han-jie MA, Fan ZHOU, Rong-xin JIANG, Yao-wu CHEN. A network-aware error-resilient method using prioritized intra refresh for wireless video communications[J]. Journal of Zhejiang University Science A, 2009, 10(8): 1169~1176.

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author="Han-jie MA, Fan ZHOU, Rong-xin JIANG, Yao-wu CHEN",
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doi="10.1631/jzus.A0820660"
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%A Fan ZHOU
%A Rong-xin JIANG
%A Yao-wu CHEN
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%D 2009
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A1 - Han-jie MA
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A1 - Rong-xin JIANG
A1 - Yao-wu CHEN
J0 - Journal of Zhejiang University Science A
VL - 10
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820660


Abstract: 
We propose a novel prioritized intra refresh method for the wireless video communication. The proposed method considers the characteristics of the human visual system, the error-sensitivity of the bitstream, and the state of the time-varying wireless channel jointly. An expected perceptual distortion model was used to adjust the intra refresh rate adaptively. This model consists of the perceptual weight map based on an attention model, the bit error probability map based on bitstream size, and the dynamic channel state information (CSI). Experimental results indicate that, compared with other intra refresh methods that consider only the content of the video or the CSI, the proposed method improves the average peak signal-to-noise ratio (PSNR) of the whole frame by about 0.5 dB, and improves the average PSNR of the attention-area by about 0.8 dB.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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