Modeling and analysis of distortion caused by Markov-model burst packet losses in video transmission
IEEE Transactions on Circuits and Systems for Video Technology
No-reference video quality monitoring for H.264/AVC coded video
IEEE Transactions on Multimedia
A control-theoretic approach to rate control for streaming videos
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Adaptive mode- and diversity-control for video transmission on MIMO wireless channels
IEEE Transactions on Signal Processing
Error resilient video coding using B pictures in H.264
IEEE Transactions on Circuits and Systems for Video Technology
Compressed-domain-based transmission distortion modeling for precoded H.264/AVC video
IEEE Transactions on Circuits and Systems for Video Technology
Analysis and design of a proportional-integral rate controller for streaming videos
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Prediction of transmission distortion for wireless video communication: Algorithm and application
Journal of Visual Communication and Image Representation
Utility function selection for streaming videos with a cognitive engine testbed
Mobile Networks and Applications
Rate controlled redundancy-adaptive multiple description video coding
Image Communication
Multiple description coded video streaming in peer-to-peer networks
Image Communication
SSIM-Based error resilient video coding over packet-switched networks
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
SSIM-based Error Resilient Video Coding Over Packet-Switched Networks
Journal of Signal Processing Systems
| Hi-index | 0.00 |
This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based motion-compensated prediction framework (including the H.261/263/264 and MPEG1/2/4 video coding standards) and allows for any motion-compensated temporal concealment method at the decoder. The model explicitly considers the interpolation operation invoked for motion-compensated temporal prediction and concealment with sub-pel motion vectors. The model also takes into account the two new features of the H.264/AVC standard, namely intraprediction and inloop deblocking filtering. A comparison with simulation data shows that the model is very accurate over a large range of packet loss rates and encoder intrablock rates. The model is further adapted to characterize the channel distortion in subsequent received frames after a single lost frame. This allows one to easily evaluate the impact of a single frame loss.