[1]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.[doi:10.3724/SP.J.1249.2014.04352]
 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]
点击复制

结合视觉运动特性的可分级视频拥塞控制机制()
分享到:

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第31卷
期数:
2014年第4期
页码:
352-360
栏目:
电子与信息科学
出版日期:
2014-07-16

文章信息/Info

Title:
Visual motion characteristics based scalable video congestion control mechanism
文章编号:
201404003
作者:
周莺12张基宏12梁永生2柳伟2
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
Author(s):
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
关键词:
数据处理视频传输拥塞控制主动队列管理自适应随机早期检测率失真运动特性队列长度视频播出质量
Keywords:
data processing video transmission congestion control active queue management(AQM) adaptive random early detection(ARED) rate-distortion motion characteristic queue length video broadcast quality
分类号:
TN 919;TP 391
DOI:
10.3724/SP.J.1249.2014.04352
文献标志码:
A
摘要:
为解决异构网络因采用主动队列管理进行拥塞控制,无法区分视频流中不同结构和内容的数据包,难以提高视频播出质量的问题,提出一种结合视觉运动特性的可分级视频拥塞控制机制.该机制基于视觉运动特性的视频数据包重要性标记方法,根据当前队列长度及丢包率与队列长度的非线性关系,改进已有的自适应随机早期检测.当网络发生拥塞时,能根据网络状况和数据包的重要性调整丢包策略.以视频质量分析仪PQA600的注意力加权峰值信噪比、差异平均主观评分和注意加权差异平均主观评分作为评价指标.NS-2仿真实验结果表明,该方法能降低丢包率,提高网络吞吐量,改善视频播出质量.
Abstract:
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.

参考文献/References:

[1] Zhang Fang, Wu Chengke, Cheng Peixing, et al.Research on an improved scalable video coding and the network transmission[J].Journal of Electronics & Information Technology, 2005, 27(1):108-111.(in Chinese)
张方, 吴成柯, 程培星, 等.一种改进的可分级视频编码方法及其网络传输研究[J].电子与信息学报, 2005, 27(1):108-111.
[2] Ryu S , Rump C , Qiao C M .Advances in active queue management (AQM) based TCP congestion control[J].Telecommunication Systems, 2004, 25(3/4):317-351.
[3] Lou C, Qiu L.QoS-aware scheduling and resource allocation for video streams in e-MBMS towards LTE-A system[C]// IEEE Vehicular Technology Conference.San Francisco(USA) :IEEE Press, 2011:1-5.
[4] Lu Ji, Xiao Song, Wu Chengke.A sorting approach of SVC streaming for video transmission[J].Journal of Electronics & Information Technology, 2011, 33(3):537-542.(in Chinese)
卢冀, 肖嵩, 吴成柯.一种面向视频传输的SVC码流排序方法[J].电子与信息学报, 2011, 33(3):537-542.
[5] Zhu T, Zhang X W.Frame distortion estimation and its application to extraction priority assignment for MGS of H.264/SVC[J].Przeglad Elektrotechniczny, 2011, 87(1):284-289.
[6] Hsien-Po Shiang, van der Schaar M.Information constrained resource allocation in multicamera wireless surveillance networks[J].IEEE Transactions on Circuits and Systems for Video Technology, 2010, 20(4):505-517.
[7] Li Zinuo.Study of selective retransmission technology based on the importance of video content[D].Xi’an:Xi’an University of Electronic Science and Technology, 2010.(in Chinese)
李子诺.基于视频内容重要性的选择重传方法研究[D].西安:西安电子科技大学, 2010.
[8] Adams R.Active queue management:a survey[J].IEEE Communications Surveys & Tutorials, 2013, 15(3):425-1476.
[9] Floyd S, Jaeobson V.Random early detection gateways for congestion avoidance[J].IEEE/ACM Transaction on Networking, 1993, 1(4):397-413.
[10] Abdel-jaber H, Thabtah F, Daoud A M, et al. Performance invsetigations of some active queue management tchniques using simulation[J].International Journal on New Computer Architectures and Their Applications, 2012, 2(1):286-301.
[11] Feng Wuchang, Kandlur D D, Saha D, et al.A self-configuring RED gateway[C]// Proceedings of Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies.New York(USA):IEEE Press,1999:1320-1328.
[12] Floyd S, Gummadi R, Shenker S.Adaptive RED:an algorithm for increasing the robustness of RED’s active queue management[R].Berkeley(USA):ACIRI, 2001:324-336.
[13] Zhang Yanping, Ma Jun, Wang Yongcheng, et al.Improved nonlinear random early detection algorithm[J].Journal of Computer Applications, 2011, 31(4):890-892.(in Chinese)
张燕平, 马俊, 王永成, 等.改进的随机早期检测非线性算法[J].计算机应用, 2011, 31(4):890-892.
[14] Wu Bo, Li Layuan.An improved RED routing queue algorithm analysis and research[J].Microcomputer Information, 2010, 26(3):131-133.(in Chinese)
吴波, 李腊元.一种改进的RED路由队列算法分析与研究[J].微计算机信息, 2010, 26(3):131-133.
[15] Ma Jun.Researches on active queue management with network simulator version 2[D].Hefei:Anhui University, 2011.(in Chinese)
马俊.基于NS2路由器的主动队列算法研究[D].合肥:安徽大学, 2011.
[16] Cao Zhibo.Simulation and optimization of RED algorithm[J].Computer Technology and Development, 2010, 20(8):188-191.(in Chinese)
曹志波.RED算法优化及仿真[J].计算机技术与发展, 2010, 20(8):188-191.
[17] Luo Yunqi, Chen Hong, Yang Xiaoping, et al.BO-ARED: a new AQM algorithm with adaptive adjustment of parameters[J].Proceedings of the 8th World Congress on Intelligent Control and Automation.Jinan(China):IEEE Press, 2010:1852-1857.
[18] Nakamura F, Nakashima T.Multiple active queue management within input/output buffers[C]// The 7th International Conference on Broadband, Wireless Computing, Communication and Applications.Washington D C:IEEE Computer Society, 2012:656-661.
[19] Nakamura F, Nakashima T.Active queue management with the stable unit average calculation[J]. International Conference on Broadband and Wireless Computing, Communication and Applications.Barcelona(Spain):[S.n.], 2011:567- 572.
[20] Fan Jisong, Wu Xinrong, Liu Jie.Modified RED stability research[J].Journal of System Simulation, 2010, 22(7):1711-1715.(in Chinese)
范纪松, 武欣嵘, 刘杰.一种改进RED算法稳定性研究[J].系统仿真学报, 2010, 22(7):1711-1715.
[21] Lin Tinglan, Shin Jihyun, Cosmen P, et al.Packet dropping for widely varying bit reduction rates using a network-based packet loss visibility model[J].Data Compression Conference Snowbird, 2010:445-454.
[22] Pei Changjiao, Lu Hancheng, Hong Peilin.Deadline constrained active queue management mechanism in wireless networks[J].Journal of Electronics & Information Technology, 2013, 35(5):1069-1075.(in Chinese)
裴畅姣, 卢汉成, 洪佩琳.无线环境下具有实时约束的主动队列管理机制[J].电子与信息学报, 2013, 35(5):1069-1075.
[23] Liu Jun.Hard-deadline-based frame filtering mechanism supporting the delivery of real-time video streams[C]// IEEE Conference on Computer Communications Workshops.Shanghai(China):IEEE Press, 2011:85-90.
[24] Zhou Ying, Liu Wei, Zhang Jihong.Conetent aware based sorting approach of scalable video bitstream[J].Journal of Signal Processing, 2013, 29(8):1012-1018.(in Chinese)
周莺, 柳伟, 张基宏.基于内容感知的可分级视频码流排序方法[J].信号处理, 2013, 29(8):1012-1018.
[25] Starkova O, Andrushko D.Mathematical description of TCP-sessions using AQM-algorithms for nonlinear packet drop model[C]// International Conference on Modern Problems of Radio Engineering Telecommunications and Computer Science.Lviv-Slavske(Ukraine):IEEE Press, 2012:358.

相似文献/References:

[1]陈旭,张基宏,柳伟,等.基于MGS片层重要性差错控制方法研究[J].深圳大学学报理工版,2011,28(No.2(095-188)):154.
 CHEN Xu,ZHANG Ji-hong,LIU Wei,et al.Study on error control based on importance of MGS slices[J].Journal of Shenzhen University Science and Engineering,2011,28(4):154.
[2]柳伟,陈旭,梁永生,等.基于时空显著图的可伸缩视频码率控制方法[J].深圳大学学报理工版,2013,30(No.5(441-550)):462.[doi:10.3724/SP.J.1249.2013.05462]
 Liu Wei,Chen Xu,Liang Yongsheng,et al.Rate control for scalable video coding based on spatiotemporal saliency map[J].Journal of Shenzhen University Science and Engineering,2013,30(4):462.[doi:10.3724/SP.J.1249.2013.05462]

备注/Memo

备注/Memo:
Received:2013-11-22;Accepted:2014-02-20
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)
基金项目:国家自然科学基金资助项目(61172165);广东省自然科学基金资助项目(S2011010006113)
作者简介:周莺(1982—),女(汉族),江苏省苏州市人,深圳大学博士研究生.E-mail:zhouying722@163.com
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