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ImageHunter: A Novel Tool for Relevance Feedback in Content Based Image Retrieval [chapter]

Roberto Tronci, Gabriele Murgia, Maurizio Pili, Luca Piras, Giorgio Giacinto
2013 Studies in Computational Intelligence  
In this paper we present Image Hunter, a tool that implements a Content Based Image Retrieval (CBIR) engine with a Relevance Feedback mechanism.  ...  One solution for effective image search and retrieval is to combine content-based analysis with feedbacks from the users.  ...  Conclusions In this paper we presented Image Hunter, a tool that exploits the potentiality of Relevance Feedback to improve the performance of Content Based Image Retrieval.  ... 
doi:10.1007/978-3-642-31546-6_4 fatcat:aec4dkdih5h65iaqxu4z4j5gdq

Direct content access and extraction from JPEG compressed images

J. Jiang, A. Armstrong, G.C. Feng
2002 Pattern Recognition  
In this paper, we propose a novel design of content access and extraction algorithm for compressed image browsing and indexing, which is critical for all visual information systems.  ...  While the computing cost is signiÿcantly lower than full decompression, the approximated image also reserves the content features, which are su cient for indexing and browsing as evidenced by our extensive  ...  Acknowledgements The authors wish to acknowledge the ÿnancial support for the research work from the Council for Museums, Archives & Libraries in the UK under the grant LIC=RE=082.  ... 
doi:10.1016/s0031-3203(01)00217-5 fatcat:gcyomiltpfenfcnj3jb25cuyii

Web Usage Mining [chapter]

Yew-Kwong Woon, Wee-Keong Ng, Ee-Peng Lim
Web Mining  
The work of the first two and the last authors is supported in part by the Computing and Information Technology Center of the University of Texas-Pan American.  ...  ACKNOWLEDGMENTS The authors thank the two anonymous referees and Professor Anthony Scime for their valuable comments on the draft of this chapter.  ...  One particular and well-known example of relevance feedback is Rocchio's similarity-based relevance feedback (Rocchio, 1971) .  ... 
doi:10.4018/978-1-59140-414-9.ch018 fatcat:ap6nd7exerg3xe2izd6porxocu