Robust image and video coding with pyramid vector quantisation

JTH Chung How, D R Bull

Research output: Contribution to conferenceConference Abstract

334 Downloads (Pure)


Most current image and video coding standards use variable length codes to achieve compression, which renders the compressed bitstream very sensitive to channel errors. In this paper, image and video coders based on Pyramid Vector Quantisation (PVQ) and using only fixed length codes are proposed. Still image coders using PVQ in conjunction with DCT and wavelet techniques are described and their robustness to random channel errors are investigated. This work is then extended to video coding. A novel fixed rate motion compensated wavelet/PVQ video coder suitable for low bit-rate applications and generating only fixed length codewords is presented. Its compression performance and robustness to random bit errors is compared with H.263.
Original languageEnglish
Pages332 - 335
Publication statusPublished - May 1999

Bibliographical note

Terms of use: Copyright © 1999 IEEE. Reprinted from IEEE International Symposium on Circuits and Systems, 1999 (ISCAS '99).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Name of Conference: International Symposium on Circuits and Systems, 1999 (ISCAS '99)
Venue of Conference: Orlando, USA


Dive into the research topics of 'Robust image and video coding with pyramid vector quantisation'. Together they form a unique fingerprint.

Cite this