GOP-level transmission distortion modeling for mobile streaming video
Image Communication
Modeling and analysis of distortion caused by Markov-model burst packet losses in video transmission
IEEE Transactions on Circuits and Systems for Video Technology
Packet-level transmission distortion analysis for video streaming over mesh networks
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
A perceived quality-aware cross layer monitoring framework for real-time media content adaptation
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
Compressed-domain-based transmission distortion modeling for precoded H.264/AVC video
IEEE Transactions on Circuits and Systems for Video Technology
A framework for end-to-end video quality prediction of MPEG video
Journal of Visual Communication and Image Representation
Rate-distortion control with delay bound constraint for video streaming over multi-hop networks
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Consistent-degradation macroblock grouping for parallel video streams over DiffServ networks
Computer Communications
Error-resilient packet reordering for compressed video transmission over error-prone networks
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Hi-index | 0.00 |
A major challenge in video encoding and transmission over wireless networks is that the channel is error-prone while the compressed video data is highly sensitive to errors. The transmission errors will cause decoding failure at the receiver side. More importantly, the transmission errors introduced in one video frame will propagate to its subsequent frames along the motion prediction path and significantly degrade video presentation quality. This type of picture distortion is called transmission distortion. In this work, we propose a control system approach to transmission distortion modeling. More specifically, we consider the wireless video transmission and decoding system as a linear system with the transmission errors as system input and the transmission distortion as output. We study the fading behavior of the impulse transmission distortion. We analyze the low-pass filtering behavior of video encoders and develop a scheme to estimate the instantaneous transmission distortion. Our extensive simulation results demonstrate that the proposed transmission distortion model is accurate and robust. In addition, it has very low computational complexity. More importantly, because it is a predictive model, it allows the encoder to predict the transmission distortion even before the video is compressed and transmitted. This type of transmission distortion model has important applications in resource allocation and performance optimization in real-time wireless video communication