Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial querying for image retrieval: a user-oriented evaluation
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
Image annotations by combining multiple evidence & wordNet
Proceedings of the 13th annual ACM international conference on Multimedia
Knowledge Based Image Annotation Refinement
Journal of Signal Processing Systems
Classification of violent web images using context based analysis
Proceedings of the 2010 ACM Symposium on Applied Computing
Evaluating the impact of image names in context-based image retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
Using XML logical structure to retrieve (multimedia)
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
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Diogenes is a web image search agent that retrieves web pages and associates a person name with each facial image on those pages. To accomplish its goal, Diogenes relies on two types of evidence: Visual and textual. A face detection module examines the images on the web page for human faces. A face recognition module identifies the face by using a database of known person images. A text/HTML analysis module analyses the body of the text with the aim of finding clues about who appears in each image. The outputs of the face detection, text/HTML analysis and face recognition modules are merged using different evidence combination mechanisms to classify each image. Diogenes have been successfully used to retrieve person images from the web with an average precision surpassing those of some commercial image search engines.