Introduction to Linear Optimization
Introduction to Linear Optimization
Consistent Estimation of Erased Data in a DPCM Based Multiple Description Coding System
Journal of VLSI Signal Processing Systems
Estimation of erased data in a H.263 coded stream by using unbalanced multiple description coding
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Multiframe error concealment for MPEG-coded video delivery over error-prone networks
IEEE Transactions on Image Processing
Source model for transform video coder and its application. I. Fundamental theory
IEEE Transactions on Circuits and Systems for Video Technology
A novel unbalanced multiple description scheme for video transmission over WLAN
Proceedings of the 3rd ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Journal of Visual Communication and Image Representation
P2P video streaming combining SVC and MDC
International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications
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Video transmission over unreliable networks presents new challenges for research in video coding. In fact, in video coders that use predictive coding schemes, even a single packet loss may cause errors during the decoding process propagating in time. A way to increase the robustness of the coded stream and reduce the length of error propagation is the use of a multiple description coding (MDC) technique. The aim of this paper is to apply a novel sequence-based error-concealment (EC) algorithm to an unbalanced MD video coding system that generates both a high-quality (HQ) and a low-quality (LQ) description. In order to recover a loss in the current frames, the EC algorithm takes into account not only the spatial/temporal neighboring of the region the lost data correspond to, but also what is going to happen in a significant number of future frames looking both the HQ and the LQ descriptions. The sequence-based EC algorithm presents good performances when applied to video streams. The comparison with concurrent error-resilience techniques shows interesting results.