Time-space weighting for image sequence quantization

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper introduces a method for quantization of image-sequences which takes into account the human sensitivities in both space and time. A weighted clustering approach is used for quantization which allows flexibility in the choice of weights. Assigning weights proportional to the space gradients and the time gradients is shown to produce better quantization of color image sequences.

Original languageEnglish
Title of host publicationImage Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings
EditorsRoland T. Chin, Ting-Chuen Pong, Avi C. Naiman, Horace H.S. Ip
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783540606970
StatePublished - 1995
Externally publishedYes
Event3rd International Computer Science Conference, ICSC 1995 - Hong Kong, Hong Kong
Duration: 11 Dec 199513 Dec 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Computer Science Conference, ICSC 1995
Country/TerritoryHong Kong
CityHong Kong

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1995.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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