Media streaming via TFRC: An analytical study of the impact of TFRC on user-perceived media quality
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 3rd international conference on Mobile multimedia communications
Fuzzy optical flow using in error concealment
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
IEEE Journal on Selected Areas in Communications
Spatial error concealment with sequence-aligned texture modeling and adaptive directional recovery
Journal of Visual Communication and Image Representation
The new hybrid approach to protect MPEG-2 video header
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
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
Error concealment based on adaptive MRF-MAP framework
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
A QoS-aware policer for a fair resource sharing in wireless ATM
Computer Communications
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When transmitting compressed video over a data network, one has to deal with how channel errors affect the decoding process. This is particularly a problem with data loss or erasures. In this paper we describe techniques to address this problem in the context of asynchronous transfer mode (ATM) networks. Our techniques can be extended to other types of data networks such as wireless networks. In ATM networks channel errors or congestion cause data to be dropped, which results in the loss of entire macroblocks when MPEG video is transmitted. In order to reconstruct the missing data, the location of these macroblocks must be known. We describe a technique for packing ATM cells with compressed data, whereby the location of missing macroblocks in the encoded video stream can be found. This technique also permits the proper decoding of correctly received macroblocks, and thus prevents the loss of ATM cells from affecting the decoding process. The packing strategy can also be used for wireless or other types of data networks. We also describe spatial and temporal techniques for the recovery of lost macroblocks. In particular, we develop several optimal estimation techniques for the reconstruction of missing macroblocks that contain both spatial and temporal information using a Markov random field model. We further describe a sub-optimal estimation technique that can be implemented in real time