Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
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CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 9 - Volume 09
Joint semantics and feature based image retrieval using relevance feedback
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Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Learning a semantic space from user's relevance feedback for image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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ACM Computing Surveys (CSUR)
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MM '08 Proceedings of the 16th ACM international conference on Multimedia
Ensemble one-class support vector machines for content-based image retrieval
Expert Systems with Applications: An International Journal
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Pattern Recognition
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Personal and Ubiquitous Computing
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In this paper we present a semantic image retrieval system with integrated feedback mechanism. In our system, we propose a novel feedback solution for semantic retrieval: semantic feedback, which allows our system to interact with users directly at the semantic level. The learning process of the semantic feedback substantially improves the image retrieval performance of the proposed system. We demonstrate the effectiveness of our approach with experiments using 5,000 images from Corel database.