Efficient indexing of multi-color sets for content-based image retrieval

Phillip A Mlsna, J. J. Rodriguez

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

7 Citations (Scopus)

Abstract

The color set concept of Smith and Chang (1995, 1996) is a useful and efficient approach to image indexing and querying in a way that combines color and spatial information. By indexing relatively important regions based on both their color content and their spatial locations, the color set method allows rapid retrieval of images matching a specified color-spatial query. To produce a color set representation for an image, it is necessary to determine the relevant color combinations that occur in the image. We present here a new technique for determine the relevant color combinations much more efficiently than the original algorithm. Using this refinement, the process of analyzing an image in order to produce a color set description becomes many times faster.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-120
Number of pages5
Volume2000-January
ISBN (Print)0769505953
DOIs
StatePublished - 2000
Event4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000 - Austin, United States
Duration: Apr 2 2000Apr 4 2000

Other

Other4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000
CountryUnited States
CityAustin
Period4/2/004/4/00

Fingerprint

Image retrieval
Color
Image matching

Keywords

  • Birth disorders
  • Color
  • Computer science
  • Content based retrieval
  • Image analysis
  • Image databases
  • Image retrieval
  • Indexing
  • Query processing
  • Spatial databases

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Mlsna, P. A., & Rodriguez, J. J. (2000). Efficient indexing of multi-color sets for content-based image retrieval. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (Vol. 2000-January, pp. 116-120). [839583] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAI.2000.839583

Efficient indexing of multi-color sets for content-based image retrieval. / Mlsna, Phillip A; Rodriguez, J. J.

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation. Vol. 2000-January Institute of Electrical and Electronics Engineers Inc., 2000. p. 116-120 839583.

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

Mlsna, PA & Rodriguez, JJ 2000, Efficient indexing of multi-color sets for content-based image retrieval. in Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation. vol. 2000-January, 839583, Institute of Electrical and Electronics Engineers Inc., pp. 116-120, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000, Austin, United States, 4/2/00. https://doi.org/10.1109/IAI.2000.839583
Mlsna PA, Rodriguez JJ. Efficient indexing of multi-color sets for content-based image retrieval. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation. Vol. 2000-January. Institute of Electrical and Electronics Engineers Inc. 2000. p. 116-120. 839583 https://doi.org/10.1109/IAI.2000.839583
Mlsna, Phillip A ; Rodriguez, J. J. / Efficient indexing of multi-color sets for content-based image retrieval. Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation. Vol. 2000-January Institute of Electrical and Electronics Engineers Inc., 2000. pp. 116-120
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