用户名: 密码: 验证码:
基于客户端下溢概率估计的可伸缩视频传输算法
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Client-driven Scalable Video Transmission Based on Underflow Probability
  • 作者:刘丁瑜 ; 杨坚 ; 冉泳屹
  • 英文作者:LIU Ding-yu,YANG Jian,RAN Yong-yi(Department of Automation,University of Science and Technology of China,Hefei 230027,China)
  • 关键词:无线视频传输 ; 可伸缩视频 ; 视频分层传输 ; 下溢概率估计
  • 英文关键词:wireless video transmission;scalable video;layered video transmission;underflow probability estimation
  • 中文刊名:XXWX
  • 英文刊名:Journal of Chinese Computer Systems
  • 机构:中国科学技术大学自动化系;
  • 出版日期:2013-04-15
  • 出版单位:小型微型计算机系统
  • 年:2013
  • 期:v.34
  • 基金:国家自然科学基金项目(61174062)资助;; 教育部新世纪优秀人才支持计划项目(NCET-08-0522)资助
  • 语种:中文;
  • 页:XXWX201304012
  • 页数:5
  • CN:04
  • ISSN:21-1106/TP
  • 分类号:52-56
摘要
针对无线网络中可伸缩视频传输存在的问题,提出一种基于客户端下溢概率估计的传输算法.算法通过统计当前播放缓冲区容量的变化情况,计算出缓冲区下溢的概率,以此为根据选择合适的视频发送层数,从而在充分利用有效带宽的同时尽可能减少视频下溢频率.仿真结果表明,该算法能够保证在无线网络中视频传输具有较低的下溢概率和较高的视频质量.
        A layered video transmission algorithm based on underflow probability estimation is proposed to solve the problem of scalable video transmission over wireless networks.It predicts the underflow probability by analyzing the variation of frame buffer length in order to select appropriate layers to be transmitted ensuring that video can be transmitted in high quality and low underflow frequency.Simulation results show that the proposed algorithm can ensure low underflow probability while keeping high video quality in wireless video transmission.
引文
[1]Wiegand T,Noblet L,Rovati F.Scalable video coding for IPTVservices[J].IEEE Transactions on Broadcasting,2009,55(2):527-538.
    [2]Chakarenski J,Frossard P.Adaptive systems for improved mediastreaming experience[J].Communications Magazine,IEEE,2007,45(1):77-83.
    [3]Maani E,Katsaggelos A K.Optimized bit extraction using distortionmodeling in the scalable extension of H.264/AVC[J].IEEETransactions on Image Processing,2009,18(9):2022-2029.
    [4]Maani E,Katsaggelos A K.Unequal error protection for robuststreaming of scalable video over packet lossy networks[J].IEEETransactions on Circuits and Systems For Video Technology,2010,20(3):407-416.
    [5]Chuang H C,Huang C Y,Chiang T.On the buffer dynamics ofscalable video streaming over the wireless network[C].VehicularTechnology Conference,Los Angeles,2004:2582-2586.
    [6]Yang J,Hu H,Xi H S,et al.Online buffer fullness estimation ai-ded adaptive media playout for video streaming[J].IEEE Transactions on Multimedia,2011,13(5):1141-1153.
    [7]Li Zhong-bo,Tao Tao,Zhao Sheng-hui,et al.An adaptive playoutalgorithm based on wavelet transform[J].Transactions of BeijingInstitute of Technology,2008,28(10):918-922.
    [8]Fan Ming-na,Yang Jian,Zhao Yu.Adaptive media playout algo-rithm based on probability estimation[J].Computer Engineering,2010,36(24):217-219.
    [9]He Fei,Yang Jian,Xi Hong-sheng,et al.PID control-based adaptivemedia playout algorithm[J].Computer Engineering,2010,36(22):222-227.
    [10]Dembo A,Zeitouni O.Large deviations techniques and applications[M].2nd Edition,Springer,1998.
    [11]Hanzo L,Blogh J,Ni S.3G.HSPA and FDD versus TDD networ-king:smart antennas and adaptive modulation[M].USA,JohnWiley and IEEE Press,2008.
    [12]3GPP.3GPP TS25.214 V6.2.0 physical layer procedures(FDD)[S].2004.
    [13]Motorola,Nokia.R1-02-0675,Revised CQI proposal[R].3GPPRAN WG1,Apr.2002.
    [14]Freudenthaler K,Springer A,Wehinger J.Novel SINR-to-CQImapping maximizing the throughput in HSDPA[C].WirelessCommunications and Networking Conference,Kowloon,2007:2231-2235.
    [15]Ko K,Lee D,Lee M,et al.A novel SIR to channel-quality indi-cator(CQI)mapping method for HSDPA system[C].VehicularTechnology Conference,Montreal,Canada,2006:1-5.
    [16]Video trace library[EB/OL].http://trace.eas.asu.edu/2011.
    [7]李忠博,陶萄,赵胜辉,等.一种基于小波变换的自适应播放算法[J].北京理工大学学报,2008,28(10):918-922.
    [8]范铭娜,杨坚,赵宇.基于概率估计的自适应媒体播放算法[J].计算机工程,2010,36(24):217-219.
    [9]何菲,杨坚,奚宏生,等.基于PID控制的自适应媒体播放算法[J].计算机工程,2010,36(22):222-227.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700