Affinity relation discovery in image database clustering and content-based retrieval

Mei Ling Shyu, Shu Ching Chen, Min Chen, Chengcui Zhang

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

9 Scopus citations

Abstract

In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of the MMM framework consists of two hierarchical levels: local MMMs and integrated MMMs, which model the affinity relations among the images within a single image database and within a set of image databases, respectively, via an effective data mining process. The effectiveness and efficiency of the MMM framework for database clustering and image retrieval are demonstrated over a set of image databases which contain various numbers of images with different dimensions and concept categories.

Original languageEnglish (US)
Title of host publicationACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia
Pages372-375
Number of pages4
StatePublished - Dec 1 2004
EventACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia - New York, NY, United States
Duration: Oct 10 2004Oct 16 2004

Publication series

NameACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia

Other

OtherACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia
CountryUnited States
CityNew York, NY
Period10/10/0410/16/04

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Keywords

  • Content-based Image Retrieval
  • Image Database Clustering
  • Markov Model Mediators (MMMs)

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Shyu, M. L., Chen, S. C., Chen, M., & Zhang, C. (2004). Affinity relation discovery in image database clustering and content-based retrieval. In ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia (pp. 372-375). (ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia).