An imprecise real-time video transmission algorithm

  • Albert Mo Kim Cheng
  • Xiaofen Huang
Poster Session
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)


Multimedia systems are becoming increasingly popular. One major requirement in these systems is the efficient transmission of multimedia information over a communication or computer network. Current image and video transmission techniques work well if sufficient processing power, network bandwidth, and transmission time are available, but do not adapt properly to a reduction in one or more of these resources. This paper proposes an imprecise image/video transmission algorithm which yields a balanced tradeoff between the quality of the image/video transmitted and the available time for transmission. Our experimental results show that the proposed approach has better performance than conventional precise algorithms and some progressive transmission algorithms. It also compares favorably with commercially available systems such as InPerson made by Silicon Graphics Inc.


Video Transmission Silicon Graphic Laplacian Pyramid Transmission Algorithm Balance Tradeoff 
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.


  1. 1.
    P. J. Burt and E. H. Adelson, “The Laplacian Pyramid As a Compact Image Code,” IEEE Transactions on Communications, vol. 31, pp. 532–540, April 1983.Google Scholar
  2. 2.
    G. Mongatti, L. Alparone, G. Benelli, S. Baronti, F. Lotti and A. Casini, “Progressive Image Transmission By Content Driven Laplacian Pyramid Encoding,” IEEE Proceedings-I, vol. 139, No. 5, Oct. 1992.Google Scholar
  3. 3.
    Ehud Weiner and David Malah, “Interpolation of Skipped Images for Image Sequence Coding,” 17th Convention of Electrical and Electronics Engineers in Israel, Proceedings 91.Google Scholar
  4. 4.
    T. Naveen and J. W. Woods, “Motion Compensated Multiresolution Transmission of High Definition Video,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 4, pp. 29–40, Feb. 1994.Google Scholar
  5. 5.
    Kwei-Jay Lin, Swaminathan Natarajan and Jane W. S. Liu, “Imprecise Results: Utilizing Partial Computations in Real-Time Systems,” Proc. 8th IEEE Real-Time Systems Symposium, pp. 210–217, Dec. 1987.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Albert Mo Kim Cheng
    • 1
  • Xiaofen Huang
    • 1
  1. 1.Real-Time Systems Laboratory Department of Computer ScienceUniversity of Houston-University ParkHouston

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