Hierarchical clustering algorithm for fast image retrieval

Santhana Krishnamachari; Mohamed Abdel-Mottaleb

doi:10.1117/12.333862

17 December 1998 Hierarchical clustering algorithm for fast image retrieval

Santhana Krishnamachari, Mohamed Abdel-Mottaleb

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333862
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Image retrieval systems, which compare the query image exhaustively with each individual image in the database, are not scalable to large databases. A scalable search system should ensure that the search time does not increase linearly with the number of images in the database. We present a clustering based indexing technique, where the images in the database are grouped into clusters of images, with similar color content using a hierarchical clustering algorithm. At search time, the query image is not compared with all the images in the database, but only with a small subset. Experiments show that this clustering-based approach offers a superior response time with high retrieval accuracy. Experiments with different database sizes indicate that for a given retrieval accuracy, the search time does not increase linearly with the database size.

Citation Download Citation

Santhana Krishnamachari and Mohamed Abdel-Mottaleb "Hierarchical clustering algorithm for fast image retrieval", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333862

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