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

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. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval – Clustering, Retrieval models. General Terms Algorithms, Experimentation. Keywords Content-based Image Retrieval, Image Database Clustering, Markov Model Mediators (MMMs).

• Type: Conference
• Year: 2004
• Where: MM
• Authors: Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui Zhang
• Keywords: Database Clustering, Image Database, Image Database Clustering, MM 2004