TY - GEN
T1 - Rate-distortion control with delay bound constraint for video streaming over multi-hop networks
AU - Zhang, Yunsheng
AU - Zhang, Yongfei
AU - Sun, Shixin
AU - He, Zhihai
PY - 2010
Y1 - 2010
N2 - We develop a relatively accurate and robust R-D control algorithm in the H.264/AVC to achieve the target bit rate. More specifically, we first present an efficient bandwidth resource allocation framework to obtain a relatively accurate bandwidth resource allocation as bit rate budget, which is based on a proposed multi-hop packet delay bound violation model to predict the packet loss probability. With this widely-used offline-training-online-estimation mechanism, the proposed model is potentially applicable to almost all network conditions and can provide fairly accurate estimation results as compared with other models with a given sample data set. Once the channel bandwidth has been allocated to each video program and the target bit rate for each video frame is determined, and then, we introduce the concept of low-pass filtering of R-D functions and develop a smoothed rate control (SRC) framework for video recording and streaming. The extensive simulations demonstrate the SRC algorithm is effective and the proposed SRC algorithm has very low computational complexity and implementation cost.
AB - We develop a relatively accurate and robust R-D control algorithm in the H.264/AVC to achieve the target bit rate. More specifically, we first present an efficient bandwidth resource allocation framework to obtain a relatively accurate bandwidth resource allocation as bit rate budget, which is based on a proposed multi-hop packet delay bound violation model to predict the packet loss probability. With this widely-used offline-training-online-estimation mechanism, the proposed model is potentially applicable to almost all network conditions and can provide fairly accurate estimation results as compared with other models with a given sample data set. Once the channel bandwidth has been allocated to each video program and the target bit rate for each video frame is determined, and then, we introduce the concept of low-pass filtering of R-D functions and develop a smoothed rate control (SRC) framework for video recording and streaming. The extensive simulations demonstrate the SRC algorithm is effective and the proposed SRC algorithm has very low computational complexity and implementation cost.
KW - Rate-distortion control
KW - multi-hop mesh networks
KW - packet loss probability
KW - video streaming
UR - https://www.scopus.com/pages/publications/78049419232
U2 - 10.1007/978-3-642-15696-0_39
DO - 10.1007/978-3-642-15696-0_39
M3 - 会议稿件
AN - SCOPUS:78049419232
SN - 3642156959
SN - 9783642156953
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 418
EP - 429
BT - Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
T2 - 11th Pacific Rim Conference on Multimedia, PCM 2010
Y2 - 21 September 2010 through 24 September 2010
ER -