1998
@inproceedings{VeK1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Asha Vellaikal and Kuo, C.-C. Jay},
title = {Hierarchical Clustering Techniques for Image Database
Organization and Summarization},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {68--79},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
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 spaces 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.},
}