Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data management
Relevance feedback methods for logo and trademark image retrieval on the web
Proceedings of the 2006 ACM symposium on Applied computing
Searching for logo and trademark images on the web
Proceedings of the 6th ACM international conference on Image and video retrieval
Visual snippets: summarizing web pages for search and revisitation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A game based approach to assign geographical relevance to web images
Proceedings of the 18th international conference on World wide web
Style and branding elements extraction from businessweb sites
Proceedings of the 10th ACM symposium on Document engineering
Intellisearch: intelligent search for images and text on the web
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Combination of document structure and links for multimedia object retrieval
Journal of Information Science
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Image retrieval on the Web requires that important (authoritative) images satisfying the query selection criteria are assigned higher ranking over other relevant images. PicASHOW [5] achieves this goal using link information alone. This work proposes WPicASHOW (Weighted PicASHOW) a weighted scheme for co-citation analysis that incorporates within the link analysis method of PicASHOW the text and image content of the queries and of the Web pages. WPicASHOW is implemented and integrated into a fully automated Web retrieval system for logo and trademark images.