Efficient residual prediction with error concealment in extended spatial scalability

  • Authors:

  • Muhammad Shoaib;Anni Cai

  • Affiliations:

  • Multimedia Communication Center, Beijing University of Posts and Telecommunications, Beijing, China;Multimedia Communication Center, Beijing University of Posts and Telecommunications, Beijing, China

  • Venue:
  • WTS'10 Proceedings of the 9th conference on Wireless telecommunications symposium
  • Year:
  • 2010

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Abstract

In this paper, inter-layer residual prediction's tradeoff between concealing lost macroblock (MB) and removing visual artifact in extended spatial scalability (ESS) is investigated. In order to improve visual artifacts, various schemes are proposed in the literature, including higher distortion to the residual prediction used in ESS enhancement layer for non matching residuals. Whereas, residual prediction is also used to conceal lost MBs in inter-layer error concealment methods. We propose an efficient use of residual prediction to prevent those artifacts as well as to conceal lost MBs, exploiting features in homogenous characteristics in video objects for error resilient coding. Simulation results show that the proposed scheme achieves up to 0.29 dB PSNR gain, with overall average of 0.1 dB PSNR gain at the decoder for various tested sequences compared to JVT-W123 under testing conditions specified in JVT-V302.