Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions-Reference-Cited by-同舟云学术

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Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions

Published: Issue: Volume: Page:638-649
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Qi Xiaojun,Chang Ran

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74260-9_57.pdf

Reference27 articles.

1. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-Based Image Retrieval at the End of the Early Years. IEEE Trans. on Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)

2. Antani, S., Kasturi, R., Jain, R.: A Survey on the Use of Pattern Recognition Methods for Abstraction, Indexing, and Retrieval of Images and Video. Pattern Recognition 35(4), 945–965 (2002)

3. Zhou, X.S., Huang, T.S.: Relevance Feedback for Image Retrieval: a Comprehensive Review. Journal of ACM Multimedia Systems 8(6), 536–544 (2003) Special Issues on CBIR

4. Rui, Y., Huang, T.S., Ortega, M., Mahrota, S.: Relevance Feedback: A Powerful Tool for Interactive Content-based Image Retrieval. IEEE Trans. on Circuits and Video Technology 8(5), 644–655 (1998)

5. Aggarwal, G., Ashwin, T.V., Sugata, G.: An Image Retrieval System with Automatic Query Modification. IEEE Trans. on Multimedia 4(2), 201–214 (2002)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Content Based Image Retrieval Using Machine Learning Approach;Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013;2014

2. A Scalable Graph-Based Semi-Supervised Ranking System for Content-Based Image Retrieval;International Journal of Multimedia Data Engineering and Management;2013-10

3. Complementary relevance feedback-based content-based image retrieval;Multimedia Tools and Applications;2013-09-12

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