Fuzzy color quantization and its application to scene change detection

Fu Lai Korris Chung, Benny Y.M. Fung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

2003 ACM. It is both impractical and unnecessary to use true color, i.e., 24-bit colors, for most multimedia processing tasks since the computational complexity is extremely high and adjacent colors in the color model do not contribute much to visual and computational differences. Color quantization can reduce these complexities by using less number of bits to represent the 24-bit true color space. In this paper, we investigate the fuzzy color quantization technique based on the fact that the colors located nearby should not be quantized very differently. We introduce this technique to color histogram construction and show that it achieves better performance than uniform color quantization in video scene change detection using different types of movies.
Original languageEnglish
Title of host publicationProceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003
PublisherAssociation for Computing Machinery, Inc
Pages157-162
Number of pages6
ISBN (Electronic)1581137788, 9781581137781
DOIs
Publication statusPublished - 7 Nov 2003
Event5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003 - Berkeley, United States
Duration: 7 Nov 2003 → …

Conference

Conference5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003
Country/TerritoryUnited States
CityBerkeley
Period7/11/03 → …

Keywords

  • Color histogram
  • Color quantization
  • Scene change detection
  • Video shot

ASJC Scopus subject areas

  • Media Technology
  • Software
  • Information Systems
  • Computer Science Applications
  • Signal Processing

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