Image browsing using hierarchical clustering

Santhana Krishnamachari, Mohamed Abdel-Mottaleb

Research output: Chapter in Book/Report/Conference proceedingChapter

69 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationIEEE Symposium on Computers and Communications - Proceedings
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages301-307
Number of pages7
StatePublished - Jan 1 1999
Externally publishedYes
EventProceedings of the 1999 4th IEEE International Symposium on Computers and Communications, ISCC'99 - Red sea, Egypt
Duration: Jul 6 1999Jul 8 1999

Other

OtherProceedings of the 1999 4th IEEE International Symposium on Computers and Communications, ISCC'99
CityRed sea, Egypt
Period7/6/997/8/99

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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  • Cite this

    Krishnamachari, S., & Abdel-Mottaleb, M. (1999). Image browsing using hierarchical clustering. In IEEE Symposium on Computers and Communications - Proceedings (pp. 301-307). IEEE.