A rate–distortion optimized error-resilient algorithm for multi-view video coding

Gao, Pan, Xiang, Wei, Peng, Qiang, and Billingsley, John (2016) A rate–distortion optimized error-resilient algorithm for multi-view video coding. Circuits, Systems, and Signal Processing, 35 (1). pp. 301-323.

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In this paper, a new rate–distortion (R–D) optimized error-resilient scheme is proposed to improve error resilience for multi-view video transmission over lossy networks. Based on the study on the characteristics of multi-view video coding and the propagating behavior of channel errors, a recursive model to estimate the end-to-end distortion is first developed, in which the channel-induced distortion takes into consideration both motion and disparity compensation prediction. Then, based on the estimated distortion and the derived total bit rate, R–D optimized motion and disparity estimation are employed to find the reliable motion vector and disparity vector to achieve the optimum trade-off between prediction efficiency and error robustness. Finally, R–D optimization is applied again to perform coding mode decision, which explicitly considers intra, inter and inter-view prediction modes. Extensive experimental results demonstrate significant performance gains can be achieved for multi-view video communications against transmission errors.

Item ID: 52245
Item Type: Article (Research - C1)
ISSN: 1531-5878
Keywords: error-resilient, mode decision, motion and disparity estimation, multi-view video distortion estimation
Funders: Queensland Government (QG), Postgraduate Scholarship Program of China
Projects and Grants: QG Smart Futures Fellowship
Date Deposited: 31 Jan 2018 01:15
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090609 Signal Processing @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
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