华南理工大学学报(自然科学版) ›› 2007, Vol. 35 ›› Issue (5): 10-14.

• 电子、通信与自动控制 • 上一篇    下一篇

基于场景参专帧的预测帧刷新

艾育华 叶梧 冯穗力 胡兵 谢明   

  1. 华南理工大学 电子与信息学院,广东 广州 510640
  • 收稿日期:2006-03-24 出版日期:2007-05-25 发布日期:2007-05-25
  • 通信作者: 艾育华(1972-),男,博士生,主要从事视频通信、生物医学工程、远程医学和医学信息方面的研究. E-mail:aiyuhua@sina.com
  • 作者简介:艾育华(1972-),男,博士生,主要从事视频通信、生物医学工程、远程医学和医学信息方面的研究.
  • 基金资助:

    国家自然科学基金资助项目(69972015) ;广东省自然科学基金资助项目(31391)

Predictive Frame Refreshment ßased on Scene-Context Reference Frame

Ai Yu-hua  Ye Wu  Feng Sui-li  Hu Bing  Xie Ming   

  1. School of Electronic and Information Engineering , South China Univ. of Tech. , Guangzhou 510640 , Guangdong , China
  • Received:2006-03-24 Online:2007-05-25 Published:2007-05-25
  • Contact: 艾育华(1972-),男,博士生,主要从事视频通信、生物医学工程、远程医学和医学信息方面的研究. E-mail:aiyuhua@sina.com
  • About author:艾育华(1972-),男,博士生,主要从事视频通信、生物医学工程、远程医学和医学信息方面的研究.
  • Supported by:

    国家自然科学基金资助项目(69972015) ;广东省自然科学基金资助项目(31391)

摘要: 为了阻止元钱网络视频传输中由于丢包和误码而引发的差错扩散,提出了一种基于场景参考帧的预测帧刷新的抗差错策略.通过对视频序列的分割,对场景内需要同步刷新的视频帧进行基于场景参考帧的预测编码,获得相应预测帧,在编解码端同步场景标志和刷新标志,从而实现预测帧刷新.试验结果表明,与传统的I 帧刷新策略相比,在需要高I 帧刷新率的不可靠无线网络中,文中策略能够在保持相似重建视频质量的前提下,使帧比特率显著下降.

关键词: 抗差错, 预测帧刷新, 场景参考帧, 视频传输, 无线网络

Abstract:

In order to avoid the error propagation due to packet loss and bit error during the video transmission in wireless network , a novel error-resilient scheme with predictive frame refreshment is proposed based on scene-context reference frame. By segmenting the video sequences , the corresponding predictive frames locating at the original frames and needing to be intra-frame refreshed are predictably coded based on the scene-context reference frame within the same scene scope. The predictive frame refreshment is then implemented by means of the scene-flag and refresh-signal synchronization between the encoder and the decoder. As compared with the traditional intra-frame refreshment method , the proposed scheme can obviously reduce the frame bit rate with a similar reconstructed video quality when the video transmits over an unreliable wireless network that requires high intra-frame refreshment rate.

Key words: error resilience, predictive frame refreshment, scene-context reference frame, video transmission, wireless network