Evaluating strategies and systems for content based indexing of person images on the Web
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Combining evidence for automatic web session identification
Information Processing and Management: an International Journal - Issues of context in information retrieval
A bootstrapping framework for annotating and retrieving WWW images
Proceedings of the 12th annual ACM international conference on Multimedia
Web-based image retrieval with a case study
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
Searching the web with mobile images for location recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Combining multi-resolution evidence for georeferencing Flickr images
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Design of a cross-media indexing system
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Web image retrieval refinement by visual contents
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
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In this work, we examine evidence combination mechanisms for classifying multimedia information. In particular, we examine linear and Dempster-Shafer methods of evidence combination in the context of identifying personal images on the World Wide Web. An automatic web search engine named Diogenes1 searches the web for personal images and combines different pieces of evidence for identification. The sources of evidence consist of input from face detection/recognition and text/HTML analysis modules. A degree of uncertainty is involved with both of these sources. Diogenes automatically determines the uncertainty locally for each retrieval and uses this information to set a relative significance for each evidence. To our knowledge, Diogenes is the first image search engine using Dempster-Shafer evidence combination based on automatic object recognition and dynamic local uncertainty assessment. In our experiments Diogenes comfortably outperformed some well known commercial and research prototype image search engines for celebrity image queries.