Zhou Ying,Zhang Jihong,et al.Visual motion characteristics based scalable video congestion control mechanism[J].Journal of Shenzhen University Science and Engineering,2014,31(4):352-360.[doi:10.3724/SP.J.1249.2014.04352]





Visual motion characteristics based scalable video congestion control mechanism
1) 深圳大学信息工程学院,深圳 518060
2) 深圳信息职业技术学院, 可视媒体处理与传输深圳市重点实验室,深圳 518172
Zhou Ying1 2Zhang Jihong1 2Liang Yongsheng2and Liu Wei2
1) College of Information Engineering, Shenzhen University, Shenzhen 518060, P.R.China
2) Shenzhen Institute of Information Technology, Shenzhen Key Laboratory of Visual Media Processing and Transmission, Shenzhen 518172, P.R.China
data processing video transmission congestion control active queue management(AQM) adaptive random early detection(ARED) rate-distortion motion characteristic queue length video broadcast quality
TN 919;TP 391
In current heterogeneous network video transmissions, the active queue management cannot consider the effects of different structures and content packets on the quality of video broadcast. A new visual motion characteristics-based scalable video congestion control mechanism is proposed to solve this problem. This mechanism presents a vision motion characteristics-based video packet importance marking method and improves existing adaptive random early detection according to the current queue length and the nonlinear relationship between the packet loss rate and queue length. When congestion occurs, the packet loss policy is adjusted according to network conditions and the importance of video packets. Attention weighted peak signal to noise ratio (AW-PSNR), difference in mean opinion score (DMOS) and attention weighted difference in mean opinion score (ADMOS) of PQA600 are used as video quality assessment values. Results from NS-2 simulation platform have shown that the packet loss rate is reduced; both the network throughput and the video broadcast quality are improved in this mechanism.


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Foundation:National Natural Science Foundation of China(61172165);National Natural Science Foundation of Guangdong Province (S2011010006113)
Corresponding author:Professor Zhang Jihong.Email: zhangjh@sziit.com.cn
Citation:Zhou Ying,Zhang Jihong,Liang Yongsheng,et al.Visual motion characteristics based scalable video congestion control mechanism[J]. Journal of Shenzhen University Science and Engineering, 2014, 31(4): 352-360.(in Chinese)
引文:周莺,张基宏,梁永生,等.结合视觉运动特性的可分级视频拥塞控制机制[J]. 深圳大学学报理工版,2014,31(4): 352-360.
更新日期/Last Update: 2014-06-25