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The Fourth IEEE Symposium on Computers and Communications
Image Browsing using Hierarchical Clustering
Red Sea, Egypt
July 06-July 08
ISBN: 0-7695-0250-4
Santhana Krishnamachari, Philips Research
Mohamed Abdel-Mottaleb, Philips Research
Digital images and video clips are becoming popular due to the increase in the availability of consumer devices that capture digital images and video clips. Digital content is also growing over the Internet. The increase of the digital content creates a need for user- friendly tools to browse through large volumes of digital material. In this paper we present a clustering based browsing algorithm. Images are automatically clustered using a hierarchical clustering algorithm and users can then browse through the images by navigating the tree structure that results from the clustering. We have tested the algorithm on a large number of images.
Citation:
Santhana Krishnamachari, Mohamed Abdel-Mottaleb, "Image Browsing using Hierarchical Clustering," iscc, pp.301, The Fourth IEEE Symposium on Computers and Communications, 1999
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