A new hybrid error concealment scheme for H.264 video transmission
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Efficient hybrid error concealment algorithm based on adaptive estimation scheme
Journal of Visual Communication and Image Representation
IEEE Transactions on Multimedia
VLC/FLC data partitioning with intra AC prediction disabled
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation
High-performance region-of-interest image error concealment with hiding technique
Journal of Electrical and Computer Engineering
Motion vector recovery by surrounding region matching based on gradient difference
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
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The detection and concealment approach to transmission errors in H.261 images is proposed. For entropy-coded H.261 images, a transmission error in a codeword will not only affect the underlying codeword, but also may affect subsequent codewords, resulting in a great degradation of the received images. Here a transmission error may be a single-bit error or a burst error containing N successive error bits. The objective of the proposed approach is to recover high-quality H.261 images from the corresponding corrupted H.261 images, without increasing the transmission bit rate. In the proposed approach, using the constraints imposed on compressed image data, all the groups of blocks (GOBs) within an H.261 picture can be correctly located. After a GOB is located, transmission errors within the GOB are detected by two successive procedures: (1) whether the GOB is corrupted or not is determined by checking a set of error-checking conditions under decoding and (2) the precise location (block-based) of the first transmission error (i.e., the first corrupted block) within the GOB is located by a block-based backtracking procedure. For a corrupted block, a set of concealed block candidates, SC, is generated, and a proposed fitness function for error concealment is used to select the “best” concealed block candidate among SC as the concealed block of the corrupted block. Based on the simulation results obtained in this study, the proposed approach can indeed recover high-quality H.261 images from their corresponding corrupted H.261 images