Journal of South China University of Technology (Natural Science Edition) ›› 2013, Vol. 41 ›› Issue (9): 28-33.doi: 10.3969/j.issn.1000-565X.2013.09.005

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Frame Type Detection Method for Packet- Layer Model of Video Quality Assessment

Su Hong- lei Li Bing- bing Yang Fu- zheng   

  1. State Key Laboratory of Integrated Services Networks,Xidian University,Xi’ an 710071,Shaanxi,China
  • Received:2013-02-28 Revised:2013-06-22 Online:2013-09-25 Published:2013-08-01
  • Contact: 杨付正(1977-)，男，教授，主要从事视频压缩、视频质量评估研究． E-mail:fzhyang@mail.xidian.edu.cn
  • About author:苏洪磊(1986-)，男，博士生，主要从事视频质量评估研究．E-mail:hlsu@mail．xidian．edu．cn
  • Supported by:

    国家自然科学基金资助项目(60902081， 60902052);高等学校学科创新引智计划项目(B08038)

PDF

977

Abstract:

In order to improve the performance of the packet- layer quality assessment model of networked video,a frame type detection method without any help of video decoding is proposed only by using the information extracted from the packet header of the video stream.In this method,first,the statistical law of the compressed data of each type of frame is obtained according to the characteristics of different types of frames.Next,the dynamic threshold method is employed to preliminarily estimate the type of each frame in a sliding window.Then,the preliminary estimation results are modified based on the periodicity of group of pictures.Finally,the prediction structures of B- frames are determined by using the Spearman’ s rank correlation coefficient.Experimental results show that,as compared with the method based only on dynamic thresholds,the proposed method achieves a detection accuracy increment of about 20.04%.

Key words: networked video, frame type detection, packet- layer model, video quality assessment