Novel error concealment method with adaptive prediction to the abrupt and gradual scene changes
IEEE Transactions on Multimedia
An efficient error concealment implementation for MPEG-4 video streams
IEEE Transactions on Consumer Electronics
Multiframe error concealment for MPEG-coded video delivery over error-prone networks
IEEE Transactions on Image Processing
Content-based adaptive spatio-temporal methods for MPEG repair
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-2 error concealment based on block-matching principles
IEEE Transactions on Circuits and Systems for Video Technology
A cell-loss concealment technique for MPEG-2 coded video
IEEE Transactions on Circuits and Systems for Video Technology
Novel sequential error-concealment techniques using orientation adaptive interpolation
IEEE Transactions on Circuits and Systems for Video Technology
H.264/AVC in wireless environments
IEEE Transactions on Circuits and Systems for Video Technology
Spatial and Temporal Error Concealment Techniques for Video Transmission Over Noisy Channels
IEEE Transactions on Circuits and Systems for Video Technology
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We propose a method to prevent the degradation of decoded MPEG pictures caused by video transmission over error-prone networks. In this paper, we focus on the error concealment that is processed at the decoder without using any backchannels. Though there have been various approaches to this problem, they generally focus on minimizing the degradation measured frame by frame. Although this frame-level approach is effective in evaluating individual frame quality, in the sense of human perception, the most noticeable feature is the spatio-temporal discontinuity of the image feature in the decoded video image. We propose a novel error concealment algorithm comprising the combination of i) A spatio-temporal error recovery function with low processing cost, ii) A MB-based image fidelity tracking scheme, and iii) An adaptive post-filter using the fidelity information. It is demonstrated by experimental results that the proposed algorithm can significantly reduce the subjective degradation of corrupted MPEG video quality with about 30 % of additional decoding processing power.