Region-Based Color Image Indexing and Retrieval

Ioannis Kompatsiaris; Evangelia Triantafyllou; Michael G. Strintzis

Region-Based Color Image Indexing and Retrieval

Ioannis Kompatsiaris, Evangelia Triantafyllou, Michael G. Strintzis

Department of Architecture, Design and Media Technology

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

16 Citations (Scopus)

123 Downloads (Pure)

Abstract

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 language	English
Title of host publication	Proceedings of the IEEE International Conference on Image Processing 2001
Publication date	2001
Publication status	Published - 2001
Event	IEEE International Conference on Image Processing - Thessaloniki, Greece Duration: 7 Oct 2001 → 10 Oct 2001

Conference

Conference	IEEE International Conference on Image Processing
Country	Greece
City	Thessaloniki
Period	07/10/2001 → 10/10/2001

Access to Document

icip2001Accepted author manuscript, 133 KB

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Cite this

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title = "Region-Based Color Image Indexing and Retrieval",

abstract = "In this paper a region-based color image indexing and retrieval algorithmis presented. As a basis for the indexing, a novel K-Meanssegmentation algorithm is used, modified so as to take into accountthe coherence of the regions. A new color distance is also definedfor this algorithm. Based on the extracted regions, characteristicfeatures are estimated using color, texture and shape information.An important and unique aspect of the algorithm is that, in thecontext of similarity-based querying, the user is allowed to viewthe internal representation of the submitted image and the queryresults. Experimental results demonstrate the performance of thealgorithm. The development of an intelligent image content-basedsearch engine for the World Wide Web is also presented, as a directapplication of the presented algorithm.",

author = "Ioannis Kompatsiaris and Evangelia Triantafyllou and Strintzis, {Michael G.}",

year = "2001",

language = "English",

booktitle = "Proceedings of the IEEE International Conference on Image Processing 2001",

note = "IEEE International Conference on Image Processing , ICIP2001 ; Conference date: 07-10-2001 Through 10-10-2001",

}

TY - GEN

T1 - Region-Based Color Image Indexing and Retrieval

AU - Kompatsiaris, Ioannis

AU - Triantafyllou, Evangelia

AU - Strintzis, Michael G.

PY - 2001

Y1 - 2001

N2 - In this paper a region-based color image indexing and retrieval algorithmis presented. As a basis for the indexing, a novel K-Meanssegmentation algorithm is used, modified so as to take into accountthe coherence of the regions. A new color distance is also definedfor this algorithm. Based on the extracted regions, characteristicfeatures are estimated using color, texture and shape information.An important and unique aspect of the algorithm is that, in thecontext of similarity-based querying, the user is allowed to viewthe internal representation of the submitted image and the queryresults. Experimental results demonstrate the performance of thealgorithm. The development of an intelligent image content-basedsearch engine for the World Wide Web is also presented, as a directapplication of the presented algorithm.

AB - In this paper a region-based color image indexing and retrieval algorithmis presented. As a basis for the indexing, a novel K-Meanssegmentation algorithm is used, modified so as to take into accountthe coherence of the regions. A new color distance is also definedfor this algorithm. Based on the extracted regions, characteristicfeatures are estimated using color, texture and shape information.An important and unique aspect of the algorithm is that, in thecontext of similarity-based querying, the user is allowed to viewthe internal representation of the submitted image and the queryresults. Experimental results demonstrate the performance of thealgorithm. The development of an intelligent image content-basedsearch engine for the World Wide Web is also presented, as a directapplication of the presented algorithm.

M3 - Article in proceeding

BT - Proceedings of the IEEE International Conference on Image Processing 2001

T2 - IEEE International Conference on Image Processing

Y2 - 7 October 2001 through 10 October 2001

ER -