A World Wide Web Region-Based Image Search Engine

Ioannis Kompatsiaris, Evangelia Triantafyllou, Michael G. Strintzis

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

8 Citations (Scopus)
148 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationProceedings of the 2001 International Conference on Image Analysis and Processing
Publication date2001
Publication statusPublished - 2001
Event2001 International Conference on Image Analysis and Processing - Palermo, Italy
Duration: 26 Sep 200128 Sep 2001


Conference2001 International Conference on Image Analysis and Processing


  • Image Retrieval
  • Image Segmentation

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