Optimal estimation for error concealment in scalable video coding

This work is concerned with scalable video coding and, specifically, with error concealment for the mitigation of damage caused by packet loss at the enhancement layer. We propose a frequency-domain error concealment scheme that makes full use of the information available at the decoder from both the current base layer, and prior enhancement layer frames. It employs a statistical model for the evolution of transform coefficients from frame to frame and implements the optimal estimate of the reconstructed coefficient. Moreover, the ideas underlying the proposed approach allow detection and correction of blocks that suffer from significant error propagation from past losses. Substantial PSNR gains are observed in the experiments.

[1]  Nariman Farvardin,et al.  Rate-distortion performance of DPCM schemes for autoregressive sources , 1985, IEEE Trans. Inf. Theory.

[2]  S. Aign,et al.  Temporal and spatial error concealment techniques for hierarchical MPEG-2 video codec , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[3]  Kenneth Rose,et al.  Towards optimal scalability in predictive video coding , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[4]  Ya-Qin Zhang,et al.  Robust video coding algorithms and systems , 1999 .

[5]  Jae-Kyoon Kim,et al.  Adaptive error concealment in SNR scalable system , 1995, Other Conferences.

[6]  Faouzi Kossentini,et al.  Rate-distortion optimal joint source/channel coding for robust and efficient low bit rate packet video communications , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[7]  Mohammed Ghanbari,et al.  Cell-loss concealment in ATM video codecs , 1993, IEEE Trans. Circuits Syst. Video Technol..

[8]  Rui Zhang,et al.  Switched error concealment and robust coding decisions in scalable video coding , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).