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

Gao, Pan and Xiang, Wei and 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. ISSN 0278-081X

Abstract

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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version cannot be displayed due to copyright restrictions.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 06 Apr 2017 05:03
Last Modified: 18 Dec 2017 05:50
Uncontrolled Keywords: error-resilient, multi-view video, distortion estimation, motion and disparity estimation, mode decision
Fields of Research : 10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1007/s00034-015-0065-x
URI: http://eprints.usq.edu.au/id/eprint/30401

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