A World Wide Web Region-Based Image Search Engine

Ioannis Kompatsiaris, Evangelia Triantafyllou, Michael G. Strintzis

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

8 Citationer (Scopus)
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In this paper the development of an intelligent image
content-based search engine for the World Wide Web is presented.
This system will offer a new form of media representation
and access of content available in WWW. Information
Web Crawlers continuously traverse the Internet and collect
images that are subsequently indexed based on integrated
feature vectors. As a basis for the indexing, the K-Means
algorithm is used, modified so as to take into account the
coherence of the regions. Based on the extracted regions,
characteristic features are extracted using color, texture and
shape/region boundary information. These features along
with additional information such as the URL location and
the date of index procedure are stored in a database. The
user can access and search this indexed content through the
Web with an advanced and user friendly interface. The output
of the system is a set of links to the content available in
the WWW, ranked according to their similarity to the image
submitted by the user. Experimental results demonstrate the
performance of the system.
TitelProceedings of the 2001 International Conference on Image Analysis and Processing
StatusUdgivet - 2001
Begivenhed2001 International Conference on Image Analysis and Processing - Palermo, Italien
Varighed: 26 sep. 200128 sep. 2001


Konference2001 International Conference on Image Analysis and Processing

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