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Auto Regressive Model and Weighted Least Squares Based Packet Video Error Concealment

8 years 9 months ago
Auto Regressive Model and Weighted Least Squares Based Packet Video Error Concealment
In this paper, auto regressive (AR) model is applied to error concealment for block-based packet video encoding. Each pixel within the corrupted block is restored as the weighted summation of corresponding pixels within the previous frame in a linear regression manner. Two novel algorithms using weighted least squares method are proposed to derive the AR coefficients. First, we present a coefficient derivation algorithm under the spatial continuity constraint, in which the summation of the weighted square errors within the available neighboring blocks is minimized. The confident weight of each sample is inversely proportional to the distance between the sample and the corrupted block. Second, we provide a coefficient derivation algorithm under the temporal continuity constraint, where the summation of the weighted square errors around the target pixel within the previous frame is minimized. The confident weight of each sample is proportional to the similarity of geometric proximity as...
Yongbing Zhang, Xinguang Xiang, Siwei Ma, Debin Zh
Added 03 Jul 2010
Updated 03 Jul 2010
Type Conference
Year 2010
Where DCC
Authors Yongbing Zhang, Xinguang Xiang, Siwei Ma, Debin Zhao, Wen Gao
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