Error control systems for digital communication and storage
Error control systems for digital communication and storage
Improving Video Quality Using Packet Interleaving, Randomisation and Redundancy
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
An Alternative Scattered Pattern for Flexible Macroblock Ordering in H.264/AVC
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Compressed-domain techniques for error-resilient video transcoding using RPS
IEEE Transactions on Image Processing
IEEE Journal on Selected Areas in Communications
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
MPEG-2 error concealment based on block-matching principles
IEEE Transactions on Circuits and Systems for Video Technology
Wireless video transport using conditional retransmission and low-delay interleaving
IEEE Transactions on Circuits and Systems for Video Technology
Transmission Distortion Analysis for Real-Time Video Encoding and Streaming Over Wireless Networks
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
In wireless video transmission, the bursty packet losses of the channel will severely impair the reconstructed video quality. This paper presents an error-resilient packet reordering scheme to improve the error robustness of the transmitted video. Firstly, we propose a compressed domain transmission distortion model to efficiently estimate the importance of every video packet. Then based on this importance index, we create an intelligent transmission order for all packets in a transmission group to alleviate the impact of bursty losses on the video quality. Simulation results demonstrate that the proposed scheme can improve the reconstructed video quality by up to 1.8 dB compared with conventional methods. Moreover, the computational complexity of the proposed method is very low thus it is highly desirable for practical video streaming applications.