Constrained texture restoration
EURASIP Journal on Applied Signal Processing
Error detection and concealment for video transmission using information hiding
Image Communication
The effectiveness of a QoE-based video output scheme for audio-video ip transmission
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Variable Block Size Motion Vector Retrieval Schemes for H.264 Inter Frame Error Concealment
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A temporal approach for improving intra-frame concealment performance in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Concealment of whole-picture loss in hierarchical B-picture scalable video coding
IEEE Transactions on Multimedia
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Journal of Visual Communication and Image Representation
An error resilience scheme for packet loss recover of h.264 video
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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The transmission of block-coded visual information over packet networks introduces fidelity problems in terms of data losses, which result in wrong reconstruction of block sequences at the decoder. Concealment techniques aim at masking the visual effect of these errors, by exploiting either spatial or temporal available information. Both temporal and spatial approaches present drawbacks: the first is in general inefficient in handling complex or fast objects' motion, while the second is computationally expensive and is not able to recover high-frequency contents and small details. In this paper, a new solution is proposed that combines temporal and spatial approaches. The technique first replaces the lost block with the best matching pattern in a previously decoded frame (BMA), using the border information, and then applies a mesh-based warping (MBW) that reduces the artifacts caused by fast movements, rotations or deformations. The first step is achieved by a fast matching algorithm, for a high precision is not needed, while the second step uses an affine transform applied to a deformable mesh structure. Experimental results show that significant improvements can be achieved in comparison with traditional spatial or temporal concealment approaches, in terms of both subjective and objective reconstruction quality