Spatial error concealment: A novel exemplar-based approach using segmentation
Computers and Electrical Engineering
Mixture model-and least squares-based packet video error concealment
IEEE Transactions on Image Processing
Incorporating packet semantics in scheduling of real-time multimedia streaming
Multimedia Tools and Applications
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A joint encoder-decoder error control framework for stereoscopic video coding
Journal of Visual Communication and Image Representation
Artificial Intelligence Review
An efficient spatio-temporal boundary matching algorithm for video error concealment
Multimedia Tools and Applications
High-performance region-of-interest image error concealment with hiding technique
Journal of Electrical and Computer Engineering
Region-based error concealment of right-view frames for stereoscopic video transmission
Computers and Electrical Engineering
Motion characteristic differentiated error concealment
Multimedia Tools and Applications
An improved reversible data hiding-based approach for intra-frame error concealment in H.264/AVC
Journal of Visual Communication and Image Representation
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Error concealment techniques are very important for video communication since compressed video sequences may be corrupted or lost when transmitted over error-prone networks. In this paper, we propose a novel two-stage error concealment scheme for erroneously received video sequences. In the first stage, we propose a novel spatio-temporal boundary matching algorithm (STBMA) to reconstruct the lost motion vectors (MV). A well defined cost function is introduced which exploits both spatial and temporal smoothness properties of video signals. By minimizing the cost function, the MV of each lost macroblock (MB) is recovered and the corresponding reference MB in the reference frame is obtained using this MV. In the second stage, instead of directly copying the reference MB as the final recovered pixel values, we use a novel partial differential equation (PDE) based algorithm to refine the reconstruction. We minimize, in a weighted manner, the difference between the gradient field of the reconstructed MB in current frame and that of the reference MB in the reference frame under given boundary condition. A weighting factor is used to control the regulation level according to the local blockiness degree. With this algorithm, the annoying blocking artifacts are effectively reduced while the structures of the reference MB are well preserved. Compared with the error concealment feature implemented in the H.264 reference software, our algorithm is able to achieve significantly higher PSNR as well as better visual quality.