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

Shyu, ML, Chen, SC, Chen, M et al. (2004). Affinity relation discovery in image database clustering and content-based retrieval . 372-375. 10.1145/1027527.1027614

cited authors

  • Shyu, ML; Chen, SC; Chen, M; Zhang, C

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.

publication date

  • January 1, 2004

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 10

  • 1581138938

International Standard Book Number (ISBN) 13

  • 9781581138931

start page

  • 372

end page

  • 375