Complementary Relevance Feedback Methods for Content-Based Image Retrieval

A medical content based image retrieval system with eye tracking relevance feedback

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems ◽

10.1109/cbms.2013.6627805 ◽

2013 ◽

Cited By ~ 2

Author(s):

F. Maiorana

Keyword(s):

Eye Tracking ◽

Image Retrieval ◽

Relevance Feedback ◽

Retrieval System ◽

Content Based Image Retrieval ◽

Image Retrieval System

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Use of Orthogonal Arrays to Aid Relevance Feedback in Content Based Image Retrieval Systems

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. ◽

10.1109/icassp.2005.1415363 ◽

2006 ◽

Cited By ~ 1

Author(s):

R. Singh ◽

R. Kothari

Keyword(s):

Image Retrieval ◽

Relevance Feedback ◽

Orthogonal Arrays ◽

Content Based Image Retrieval ◽

Retrieval Systems

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A Lazy Processing Approach to User Relevance Feedback for Content-Based Image Retrieval

2010 IEEE International Symposium on Multimedia ◽

10.1109/ism.2010.58 ◽

2010 ◽

Cited By ~ 2

Author(s):

Sirikunya Nilpanich ◽

Kien A. Hua ◽

Antoniya Petkova ◽

Yao H. Ho

Keyword(s):

Image Retrieval ◽

Relevance Feedback ◽

Content Based Image Retrieval ◽

Processing Approach

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Relevance feedback: a power tool for interactive content-based image retrieval

IEEE Transactions on Circuits and Systems for Video Technology ◽

10.1109/76.718510 ◽

1998 ◽

Vol 8 (5) ◽

pp. 644-655 ◽

Cited By ~ 876

Author(s):

Yong Rui ◽

T.S. Huang ◽

M. Ortega ◽

S. Mehrotra

Keyword(s):

Image Retrieval ◽

Relevance Feedback ◽

Content Based Image Retrieval

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Improving Retrieval Quality Using Pseudo Relevance Feedback in Content-Based Image Retrieval

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16 ◽

10.1145/2911451.2914747 ◽

2016 ◽

Cited By ~ 1

Author(s):

Dinesha Chathurani Nanayakkara Wasam Uluwitige ◽

Timothy Chappell ◽

Shlomo Geva ◽

Vinod Chandran

Keyword(s):

Image Retrieval ◽

Relevance Feedback ◽

Content Based Image Retrieval ◽

Pseudo Relevance Feedback

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An adaptive hierarchical clustering approach for relevance feedback in content-based image retrieval systems

ISSCS 2011 - International Symposium on Signals, Circuits and Systems ◽

10.1109/isscs.2011.5978677 ◽

2011 ◽

Author(s):

Ionut Mironica ◽

Constantin Vertan

Keyword(s):

Image Retrieval ◽

Hierarchical Clustering ◽

Relevance Feedback ◽

Content Based Image Retrieval ◽

Retrieval Systems ◽

Clustering Approach

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Relevance feedback for content-based image retrieval: what can three mouse clicks achieve?

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/3-540-36618-0_26 ◽

2003 ◽

pp. 363-376 ◽

Cited By ~ 3

Author(s):

Daniel C. Heesch ◽

Stefan Rüger

Keyword(s):

Image Retrieval ◽

Relevance Feedback ◽

Content Based Image Retrieval

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Building a Compact Relevant Sample Coverage for Relevance Feedback in Content-Based Image Retrieval

Lecture Notes in Computer Science - Computer Vision – ECCV 2008 ◽

10.1007/978-3-540-88682-2_53 ◽

2008 ◽

pp. 697-710 ◽

Cited By ~ 3

Author(s):

Bangpeng Yao ◽

Haizhou Ai ◽

Shihong Lao

Keyword(s):

Image Retrieval ◽

Relevance Feedback ◽

Content Based Image Retrieval

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Relevance Feedback for Content-Based Image Retrieval Using Proximal Support Vector Machine

Computational Science and Its Applications – ICCSA 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-24709-8_99 ◽

2004 ◽

pp. 942-951 ◽

Cited By ~ 2

Author(s):

YoungSik Choi ◽

JiSung Noh

Keyword(s):

Support Vector Machine ◽

Image Retrieval ◽

Relevance Feedback ◽

Content Based Image Retrieval ◽

Support Vector ◽

Proximal Support Vector Machine

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A NEW CONTENT BASED IMAGE RETRIEVAL SYSTEM USING GMM AND RELEVANCE FEEDBACK

Journal of Computer Science ◽

10.3844/jcssp.2014.330.340 ◽

2014 ◽

Vol 10 (2) ◽

pp. 330-340 ◽

Cited By ~ 13

Author(s):

Shanmugapriya

Keyword(s):

Image Retrieval ◽

Relevance Feedback ◽

Retrieval System ◽

Content Based Image Retrieval ◽

Image Retrieval System

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