Perceptual Quality Evaluation of Low-Bit Rate Model-Assisted H.261-Compatible Video

  • Arnaud Jacquin

Abstract

We describe an experiment conducted so as to evaluate the perceptual quality of low-bit rate H.261-compatible video. The video coding systems tested are based on CCITT Recommendation H.261, operating at the bit rates of 48 and 24 kbps, at the constant frame rates of 7.5, 5 and 2 fps, and are followed by a postprocessing module. One system uses the concept of model-assisted coding which results in a better rendition of facial features—producing better eye contact and lip synchronization—at the expense of a slightly lower quality in the rest of the image.

Keywords

Expense Lution Reso 

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References

  1. [1]
    J. S. Angiolillo H. E. Blanchard E. W. Israelski “Video telephony”, AT&T Technical Journal, vol. 72, no. 3, May/June 1993. Google Scholar
  2. [2]
    A. Eleftheriadis A. Jacquin, “Low bit rate model-assisted H.261-compatible coding of video”, Proceedings ICIP’95, October 1994.Google Scholar
  3. [3]
    A. Eleftheriadis A. Jacquin, “Automatic face location detection for model-assisted rate control in H.261-compatible coding of video”, Signal Processing: Image Communication, To appear.Google Scholar
  4. [4]
    M. Liou, “Overview of the px64 kbit/s video coding standard”, Communications of the ACM, vol. 34, no. 4, April 1991.Google Scholar
  5. [5]
    “Draft revision of recommendation H.261: video codec for audiovisual services at p X 64 kbit/s”, Signal Processing: Image Communication, vol. 2, no. 2, pp. 221–239, August 1990.Google Scholar
  6. [6]
    “Description of reference model 8 (RM8)”, CCITT SGXV WG4, Specialists Group on Coding for Visual Telephony, Doc. 525, June, 1989.Google Scholar
  7. [7]
    A. Eleftheriadis A. Jacquin, “Model-assisted coding of video teleconferencing sequences at low bit rates”, Proc. ISCAS ’94, May–June 1994. Google Scholar
  8. [8]
    A. Eleftheriadis A. Jacquin, “Automatic face location detection and tracking for model-assisted coding of video teleconferencing sequences at low bit rates”, Signal Processing: Image Communication, To appear.Google Scholar
  9. [9]
    T-S Liu and N. Jayant, “Adaptive post-processing algorithms for low bit rate video signals”, Proceedings ICASSP’94, 1994.Google Scholar
  10. [10]
    J. Apostolopoulos, N.S. Jayant, Private communication.Google Scholar
  11. [11]
    A. Papoulis, Probability, Random Variables, and Stochastic Processes, Third Edition, McGraw-Hill, Inc., 1991. Google Scholar

Copyright information

© Plenum Press, New York 1996

Authors and Affiliations

  • Arnaud Jacquin
    • 1
  1. 1.Signal Processing Research DepartmentAT&T Bell LaboratoriesMurray HillUSA

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