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An efficient image retrieval system using ordered weighted aggregation. (English) Zbl 1145.68402
Bello, Rafael (ed.) et al., Granular computing: At the junction of rough sets and fuzzy sets. Several papers based on the presentations at the 1st international symposium of fuzzy and rough sets (ISFUROS 2006), Santa Clara, Cuba, December 5–8, 2006. Berlin: Springer (ISBN 978-3-540-76972-9/hbk). Studies in Fuzziness and Soft Computing 224, 43-54 (2008).
Summary: In this study, an XML based content-based image retrieval system that combines three visual descriptors of MPEG-7 (dominant color, color layout and edge histogram) is introduced. The system is extended to support high dimensional indexing for efficient search and retrieval from a native XML-based DBMS. To do this, an index structure, called M-Tree, which uses Euclidean distance function for each feature, is used. In addition the Ordered Weighted Aggregation operators are adapted for aggregating the distance functions of these features. The system supports nearest neighbor queries and various types of fuzzy queries; feature-based, image-based and color-based queries. The experimental results show that our system is effective in terms of retrieval efficiency.
For the entire collection see [Zbl 1132.68003].
MSC:
68P20 Information storage and retrieval of data
68U10 Computing methodologies for image processing
68P15 Database theory
Software:
M-TREE
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