Spatial visualization for content-based image retrieval

Baback Moghaddam, Qi Tian, Thomas S. Huang

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


In traditional content-based image retrieval (CBIR), the retrieved images are displayed in order of decreasing similarities from the query and can be considered as a 1-D display. In this paper∗, a novel optimized technique is proposed to visualize the retrieved images not only in order of their decreasing similarities but also according to their mutual similarities visualized on a 2-D screen. Principle Component Analysis (PCA) is first performed on the retrieved images to project the images from the original high dimensional feature space to 2-D screen. The result of PCA analysis is denoted as a PCA Splat. To minimize the overlap between images, a constrained nonlinear optimization approach is used. The experimental results show a more perceptually intuitive and informative visualization of the retrieval results. The proposed technique not only provides a better understanding of the query results but also aids the user in forming a new query.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Multimedia and Expo
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)0769511988
StatePublished - 2001
Event2001 IEEE International Conference on Multimedia and Expo, ICME 2001 - Tokyo, Japan
Duration: Aug 22 2001Aug 25 2001

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X


Other2001 IEEE International Conference on Multimedia and Expo, ICME 2001

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications


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