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Multimedia Search with Pseudo-relevance Feedback
2003We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evidence is novel, this paper emphasizes the successful use of negative pseudo-relevance feedback to improve image retrieval performance.
Rong Yan +2 more
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Image Retrieval and Relevance Feedback
2009Relevance feedback is a means for refining a query in an information retrieval system by asking the user to specify how relevant each result of the query is. An image retrieval session relying on relevance feedback is interactive and iterative. The session is divided into several consecutive rounds; at every round, the user provides feedback regarding ...
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Clustered Semi-Supervised Relevance Feedback
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015In relevance feedback, first-round search results are used to boost second-round search results. Two forms have been traditionally considered: exhaustively labelled feedback, where all first-round results to depth k are annotated for relevance by the user; and blind feedback, where the top-k results are all assumed to be relevant.
Kripabandhu Ghosh, Swapan Kumar Parui
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The Effects of Relevance Feedback Quality and Quantity in Interactive Relevance Feedback
2012The original publication is available at www.springerlink.com.
Keskustalo, Heikki +2 more
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Supporting Relevance Feedback in Video Search
2006WWW Video Search Engines have become increasingly commonplace within the last few years and at the same time video retrieval research has been receiving more attention with the annual TRECVid series of workshops. In this paper we evaluate methods of relevance feedback for video search engines operating over TV news data.
Cathal Gurrin +2 more
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Optimization of relevance feedback weights
Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95, 1995Chris Buckley, Gerard Salton
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Block-based pseudo-relevance feedback for image retrieval
Journal of Experimental and Theoretical Artificial Intelligence, 2022Wei-Chao Lin
exaly
A test of genetic algorithms in relevance feedback
Information Processing and Management, 2002Felix de Moya Anegón +1 more
exaly