Error-resilient scheme for wavelet video codec using automatic ROI detection and wyner-ziv coding over packet erasure channel
Xue, Zhuo and Loo, Jonathan and Cosmas, John and Tun, Myo and Feng, Lifang and Yip, Pik Yee (2010) Error-resilient scheme for wavelet video codec using automatic ROI detection and wyner-ziv coding over packet erasure channel. IEEE Transactions on Broadcasting, 56 (4). pp. 481-493. ISSN 0018-9316
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The error-resilient for video transmission over the Internet in which regarded as the packet erasure channel is always a tough task and has gained lots of attentions. The main contradictory problem lies between error-resilient and bandwidth usage. Additional redundant data has to be added to achieve robust transmission which leads to huge bandwidth usage. In this paper, an error-resilient scheme calledWyner-Ziv Error-Resilient (WZER) based on a receiver driven layered Wyner-Ziv (WZ)coding framework is proposed. The WZER purposely emphasizes on the protection of the Region of Interest (ROI) area in the frame thus to achieve the better tradeoff between the bandwidth usage and error-resilience. WZER is designed to work for the scenario of wavelet based video coding over packet erasure channel, where several techniques including automatic ROI detection, ROI mask generation, Rate distortion optimization (RDO) quantization, WZ coding with layer design, and packet level Low Density Parity Check (LDPC) code are used. The performances of the proposed WZER are simulated based on average PSNR of luminance, perceptual reconstruction and bandwidth usage and compared with normal Forward Error Correction (FEC) full protection scheme and no protection scheme. The results show the advantages of the proposed WZER over traditional FEC protection, especially in the aspects of the recovery of the subject area and bandwidth efficiency.
|Research Areas:||A. Middlesex University Schools and Centres > School of Science and Technology > Computer and Communications Engineering|
A. Middlesex University Schools and Centres > School of Science and Technology > Computer Science > SensoLab group
|Citations on ISI Web of Science:||2|
|Deposited On:||28 Apr 2011 11:25|
|Last Modified:||31 Oct 2014 17:15|
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