Hierarchical clustering techniques for image database organization and summarization

Asha Vellaikal; C.-C. Jay Kuo

doi:10.1117/12.325853

5 October 1998 Hierarchical clustering techniques for image database organization and summarization

Asha Vellaikal, C.-C. Jay Kuo

Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325853
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

This paper investigates clustering techniques as a method of organizing image databases to support popular visual management functions such as searching, browsing and navigation. Different types of hierarchical agglomerative clustering techniques are studied as a method of organizing features space as well as summarizing image groups by the selection of a few appropriate representatives. Retrieval performance using both single and multiple level hierarchies are experimented with and the algorithms show an interesting relationship between the top k correct retrievals and the number of comparisons required. Some arguments are given to support the use of such cluster-based techniques for managing distributed image databases.

Citation Download Citation

Asha Vellaikal and C.-C. Jay Kuo "Hierarchical clustering techniques for image database organization and summarization", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325853

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