Content-Based Video Transmission over Wireless Channels

  • Pankaj Batra
  • Shih-Fu Chang

Abstract

This paper describes new schemes for video transmission over wireless channels. Traditionally data was segmented using headers and data type (e.g. motion vectors, low and high frequency DCT coefficients). However, for wireless applications that have very low bandwidths available, a finer granularity of control may be essential. We propose content based approaches for further video segmentation. In particular, frame type, scene changes, and motion based procedures are used to provide finer level of control for data segmentation. We go on to argue that for transport over wireless channels, different video content requires different form of resources to be allocated to it. Joint source/channel coding techniques (particularly class/content/data dependent FEC/ARQ schemes) are used to do resource allocation after initial segmentation. FEC schemes are used to provide class/template dependent error robustness and ARQ techniques give delay control. An experimental simulation platform is used to test the objective (SNR) and subjective effectiveness of proposed algorithms. Based on our initial results from FEC control we argue that introduction of video content into video modeling allows us to define various classes of importance. We believe that by using such techniques we can get better visual quality under the very low bit rates available.

Keywords

Power Allocation Motion Vector Video Content Video Modeling Scene Change 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    H. Liu and Magda EI. Zarki, Data partitioning and unbalanced error protection for H.263 video tansmission over wireless channels,“ Polytechnic University Symposium of Multimedia Communications and Video Coding (1995).Google Scholar
  2. 2.
    Paul Bocheck and Shih-Fu Chang. “A content based approach to VBR Video Source Modeling.” IEEE 6h International Workshop on Network and Operating Systems Support for Digital Audio and Video, (1996). Google Scholar
  3. 3.
    Jianhao Meng, Yujen Juan, and Shih-Fu Chang, “Scene change detection in a MPEG compressed video sequence,” ISandT/SPIS Symposium Proceedings, Vol. 2419, Feb. 1995, San Jose, California.Google Scholar
  4. 4.
    Louis C. Yun and D.G. Messerschmitt, “Variable Quality of Service in Systems by Statistical Power Control”, Proc. IEEE ICC (1995).Google Scholar
  5. 5.
    A. Ortega and M. Khansari, “Rate Control for video coding over variable bit rate channels with applications to wireless transmission,” IC/P (1995). Google Scholar
  6. 6.
    M. Khansari and M. Vetterli, “Layer Transmission of signals over power-constrained wireless channels,” ICIP (1995).Google Scholar
  7. 7.
    T. Russell Hsing, Li-Fung Chang. A. Wong. Ming-Ting Sun. and T-C Chen. “A real-time software based end-to-end wireless visual communications simulation platform,”Polytechnic University Symposium on Multimedia Communications and Video Coding (1995). Google Scholar
  8. 8.
    ISO/IEC 13818–2, MPEG-2, H. 262. 1994.Google Scholar
  9. 9.
    W.C. Jakes. Jr. Editor, “Microwave Mobile Communications”, John Wiley and Sons (1994).Google Scholar
  10. 10.
    D.G. Messerschmitt. J.M. Reason. A.Y. Lao, “Asynchronous video coding for wireless transport”, Proc. IEEE Workshop on Mobile Computing (1994).Google Scholar
  11. 11..
    ISO/IEC JTC I/SC29/WG 1 1 N 1327. MPEG96. “Description of core experintent on error resilience aspects in MPEG-4 video” (1996).Google Scholar
  12. 12.
    ISO/IEC JTC I/SC29/WG I I N 1331. MPEG96. “MSDL Specification Proposal’ 11996).Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Pankaj Batra
    • 1
  • Shih-Fu Chang
    • 1
  1. 1.Dept. of Electrical Engineering and Center for Telecommunications ResearchColumbia UniversityNew YorkUSA

Personalised recommendations