Region-Based Color Image Indexing and Retrieval

Ioannis Kompatsiaris, Evangelia Triantafyllou, Michael G. Strintzis

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

16 Citations (Scopus)
123 Downloads (Pure)


In this paper a region-based color image indexing and retrieval algorithm
is presented. As a basis for the indexing, a novel K-Means
segmentation algorithm is used, modified so as to take into account
the coherence of the regions. A new color distance is also defined
for this algorithm. Based on the extracted regions, characteristic
features are estimated using color, texture and shape information.
An important and unique aspect of the algorithm is that, in the
context of similarity-based querying, the user is allowed to view
the internal representation of the submitted image and the query
results. Experimental results demonstrate the performance of the
algorithm. The development of an intelligent image content-based
search engine for the World Wide Web is also presented, as a direct
application of the presented algorithm.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Image Processing 2001
Publication date2001
Publication statusPublished - 2001
EventIEEE International Conference on Image Processing - Thessaloniki, Greece
Duration: 7 Oct 200110 Oct 2001


ConferenceIEEE International Conference on Image Processing

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