Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Link fusion: a unified link analysis framework for multi-type interrelated data objects
Proceedings of the 13th international conference on World Wide Web
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
SimFusion: measuring similarity using unified relationship matrix
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Web image clustering by consistent utilization of visual features and surrounding texts
Proceedings of the 13th annual ACM international conference on Multimedia
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search Using Sparse Pivots for Efficient Multimedia Information Retrieval
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
Dr. Searcher and Mr. Browser: a unified hyperlink-click graph
Proceedings of the 17th ACM conference on Information and knowledge management
Query aware visual similarity propagation for image search reranking
MM '09 Proceedings of the 17th ACM international conference on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
Tagging tagged images: on the impact of existing annotations on image tagging
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia
Multimedia information retrieval on the social web
Proceedings of the 22nd international conference on World Wide Web companion
Topic modelling of clickthrough data in image search
Multimedia Tools and Applications
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We explore the application of a graph representation to model similarity relationships that exist among images found on the Web. The resulting similarity-induced graph allows us to model in a unified way different types of content-based similarities, as well as semantic relationships. Content-based similarities include different image descriptors, and semantic similarities can include relevance user feedback from search engines. The goal of our representation is to provide an experimental framework for combining apparently unrelated metrics into a unique graph structure, which allows us to enhance the results of Web image retrieval. We evaluate our approach by re-ranking Web image search results.