Sciweavers

Share
MMDB
2004
ACM

A unified framework for image database clustering and content-based retrieval

9 years 7 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastically increased. To address such a demand, a unified framework called Markov Model Mediators (MMMs) is proposed in this paper to facilitate conceptual database clustering and to improve the query processing performance by analyzing the summarized knowledge. The unique characteristics of MMMs are that it provides the capabilities of exploring the affinity relations among the images at the database level and among the databases at the cluster level respectively, using an effective data mining process. At the database level, each database is modeled by an intra-database MMM which enables accurate image retrieval within the database. Then the conceptual database clustering is performed and cluster-level knowledge summarization is conducted to reduce the cost of retrieving images across the databases. This framework...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where MMDB
Authors Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui Zhang
Comments (0)
books