A stochastic model for content-based image retrieval

Mei Ling Shyu, Shu Ching Chen, Lin Luo, Chi Min Shu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multimedia data, typically image data, is increasing rapidly across the Internet and elsewhere. To keep pace with the increasing volumes of image information, new techniques need to be investigated to retrieve images intelligently and efficiently. Content-based image retrieval is always a challenging task. In this paper, a stochastic model, called Markov Model Mediator (MMM) mechanism, is used to model the searching and retrieval process for content-based image retrieval. Different from the common methods, our stochastic model carries out the searching and similarity computing process dynamically, taking into consideration not only the image content features but also other characteristics of images such as their access frequencies and access patterns. Experimental results demonstrate that the MMM mechanism together with the stochastic process can assist in retrieving more accurate results for user queries.

Original languageEnglish (US)
Title of host publicationAdvances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsYung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu
PublisherSpringer Verlag
Pages229-236
Number of pages8
ISBN (Print)3540002626, 9783540002628
DOIs
StatePublished - Jan 1 2002
Event3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan, Province of China
Duration: Dec 16 2002Dec 18 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2532
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
CountryTaiwan, Province of China
CityHsinchu
Period12/16/0212/18/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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