Scalable algorithm for image retrieval by color

Santhana Krishnamachari, Mohamed Abdel-Mottaleb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

To deal with large databases, 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. Thus the retrieval is scalable to large databases. Experiments show that this clustering based approach offers a superior response time without sacrificing the retrieval accuracy, which is crucial for large databases.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE Comp Soc
Pages119-122
Number of pages4
Volume3
StatePublished - Dec 1 1998
Externally publishedYes
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: Oct 4 1998Oct 7 1998

Other

OtherProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA
Period10/4/9810/7/98

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Krishnamachari, S., & Abdel-Mottaleb, M. (1998). Scalable algorithm for image retrieval by color. In IEEE International Conference on Image Processing (Vol. 3, pp. 119-122). IEEE Comp Soc.