Error-resilient multi-view video coding using Wyner-Ziv techniques

Gao, Pan and Peng, Qiang and Xiang, Wei (2015) Error-resilient multi-view video coding using Wyner-Ziv techniques. Multimedia Tools and Applications, 74 (18). pp. 7957-7982. ISSN 1380-7501


In this paper, a Wyner-Ziv (WZ) coding based error-resilient scheme is proposed for multi-view video transmission over error-prone channels. At the encoder, the key frames of the odd views are protected by WZ encoding to generate the auxiliary bit-stream alongside the multi-view video coded bit-stream. At the decoder, error-concealed multi-view decoded frames are used as the side information (SI) for WZ decoding. Based on the study on the characteristics of multi-view video coding (MVC) and the propagating behavior of channel errors, a recursive model to estimate the transmission distortion is developed in the transform domain, in which the channel-induced distortion takes into consideration both motion and disparity compensation. With the proposed model, we propose a rate control strategy for WZ encoding to infer the minimum bit rate so as to correct the SI errors. The WZ bit rate estimation method exploits the correlation between the original bit-planes and the SI bit-planes as well as the bit-plane interdependency. Extensive experimental results show that the proposed error-resilient scheme outperforms Reed Solomon based forward error correction method by about 1.1 dB and outperforms the adaptive intra refresh algorithm by approximately 1.6 dB at the packet loss rate 10 %.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 03 Jul 2014 05:15
Last Modified: 15 Sep 2016 06:06
Uncontrolled Keywords: bit rate estimation; error resilience; multi-view video coding; transmission distortion estimation; Wyner-Ziv coding
Fields of Research : 10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0804 Data Format > 080401 Coding and Information Theory
08 Information and Computing Sciences > 0803 Computer Software > 080309 Software Engineering
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1007/s11042-014-2033-z

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