GOP-level transmission distortion modeling for mobile streaming video
Image Communication
Multiple Reference Motion Compensation: A Tutorial Introduction and Survey
Foundations and Trends in Signal Processing
Concealment of whole-picture loss in hierarchical B-picture scalable video coding
IEEE Transactions on Multimedia
Redundancy insertion of frame-based multiple description video codec
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Error resilient video coding using B pictures in H.264
IEEE Transactions on Circuits and Systems for Video Technology
Multi-stage frame error concealment algorithm for H.264/AVC based on estimated MB feature
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Error concealment for INTRA-frame losses over packet loss channels
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Temporal error concealment for H.264 using optimum regression plane
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A hybrid frame concealment algorithm for H.264/AVC
IEEE Transactions on Image Processing
An efficient frame loss error concealment scheme based on tentative projection for H.264/AVC
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Error concealment via Kalman filter for heavily corrupted videos in H.264/AVC
Image Communication
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In low bit-rate packet-based video communications, video frames may have very small size, so that each frame fills the payload of a single network packet; thus, packet losses correspond to whole-frame losses, to which the existing error concealment algorithms are badly suited and generally not applicable. In this paper, we deal with the problem of concealment of whole frame-losses, and propose a novel technique which is capable of handling this very critical case. The proposed technique presents other two major innovations with respect to the state-of-the-art: i) it is based on optical flow estimation applied to error concealment and ii) it performs multiframe estimation, thus optimally exploiting the multiple reference frame buffer featured by the most modern video coders such as H.263+ and H.264. If data partitioning is employed, by e.g., sending headers, motion vectors, and coding modes in prioritized packets as can be done in the DiffServ network model, the algorithm is capable of exploiting the motion vectors to improve the error concealment results. The algorithm has been embedded in the H.264 test model software, and tested under both independent and correlated packet loss models with parameters typical of the wireless environment. Results show that the proposed algorithm significantly outperforms other techniques by several dBs in peak signal-to-noise ratio (PSNR), provides good visual quality, and has a rather low complexity, which makes it possible to perform real-time operation with reasonable computational resources.