广东工业大学学报 ›› 2013, Vol. 30 ›› Issue (4): 83-87.doi: 10.3969/j.issn.1007-7162.2013.04.015

• 综合研究 • 上一篇    下一篇

H. 264视频码流自适应传输的研究与实现

刘国英,章云,陈泓屺   

  1. 广东工业大学 自动化学院,广东 广州 510006
  • 收稿日期:2012-12-15 出版日期:2013-12-30 发布日期:2013-12-30
  • 作者简介:刘国英(1987-),男,硕士研究生,主要研究方向为音视频编解码与传输技术.
  • 基金资助:

    中国教育部博士基金项目(2012442013000)

Research on and Implementation of Adaptive Transmission of H. 264 Video Stream

Liu Guo-ying, Zhang Yun, Chen Hong-qi   

  1. School of Automation, Guangdong University of Technology, Guangzhou 510006,China
  • Received:2012-12-15 Online:2013-12-30 Published:2013-12-30

摘要: 针对IP网络带宽的有限、时变和“尽力而为”的特性,为了保障视频传输的服务质量(QoS),提出了一种新的GAIMD_Buffer自适应传输方案.该方案在GAIMD算法的基础上增加了服务端和客户端的H-264视频流缓冲控制策略.当网络处于稳定或拥塞状态时,若下一个RTT时刻缓冲区占有量的估计值位于设定的阈值内,则按照GAIMD算法来调整发送速率,否则通过调整视频的编码码率来保证缓冲区不会发生上溢或下溢.实验表明该方案在嵌入式系统中能够更有效地平滑速率抖动,减少数据丢失,降低播放延时,进一步提高视频播放质量.

关键词: H. 264视频;服务质量(QoS);缓冲控制;自适应

Abstract: Taking into account that the network bandwidth has limitation, instability and "making the best" service, it proposes a novel adaptive transmission scheme named GAIMD_Buffer to ensure QoS of video transmission. Based on GAIMD algorithm, the scheme introduces a buffer control strategy of H.264 video streaming for both servers and clients. When the network is in a stable or congested state, and the estimated value of the buffer occupancy is within the given threshold in the next RTT as well, the speed of transmission is adjusted by GAIMD algorithm; otherwise, the stability of the buffer can only be ensured by adjusting the video code rate, which ensures the buffer will not overflow or underflow. Experimental results demonstrate that the proposed scheme works well in the embedded system, which shows more effective smooth jitter, less packet loss and play latency, and improves video quality accordingly.

Key words: H. 264 video; quality of service(QoS); buffer-driven; adaptive

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