Error resilient motion estimation for video coding

  • Authors:

  • Wen-Nung Lie;Zhi-Wei Gao;Wei-Chih Chen;Ping-Chang Jui

  • Affiliations:

  • Department of Electrical Engineering National Chung Cheng University, Chia-Yi, Taiwan, ROC;Department of Electrical Engineering National Chung Cheng University, Chia-Yi, Taiwan, ROC;Department of Electrical Engineering National Chung Cheng University, Chia-Yi, Taiwan, ROC;Materials & Electro-Optics Research Division, Chung Shan Institute of Science & Technology, Lung-Tan, Tao-Yuan, Taiwan, ROC

  • Venue:
  • PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
  • Year:
  • 2006

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Abstract

Due to temporal prediction adopted in most video coding standards, errors occurred in the current frame will propagate to succeeding frames that refer to it. This causes substantial degradation in reconstructed video quality at decoder side. In order to enhance robustness of existing temporal prediction techniques, another prediction strategy, called error resilient motion estimation (ERME), to take both coding efficiency and error propagation into considerations is proposed. To find MVs that satisfy the above two requirements, a constrained optimization problem with a new criterion is thus formed for ME. The proposed algorithm is implemented for H.264 video coding standard, where multiple reference frames are allowed for ME. From experimental results, the proposed algorithm can improve PSNR by up to 1.0 dB (at a packet loss rate of 20%) when compared with the full search ME with traditional SAD (sum of absolute difference) criterion.