A relevance feedback image retrieval scheme using multi-instance and pseudo image concepts

IEICE Transactions on Information and Systems

Volumn E89-D, Issue 5, 2006, Pages 1720-1731

  Chang, Feng Cheng ^a   Hang, Hsueh Ming ^a,b  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b IEEE   (Taiwan)

Author keywords

Image retrieval; Perception weighting; Relevance feedback

Indexed keywords

FEEDBACK; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; SENSORY PERCEPTION; USER INTERFACES;

IMAGE FEATURE STABILITY; PERCEPTION WEIGHTING; PSEUDO IMAGE CONCEPTS; RELEVANCE FEEDBACK;

IMAGE RETRIEVAL;

EID: 33646785711     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1093/ietisy/e89-d.5.1720     Document Type: Article

References (19)

1. A.W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-based image retrieval at the end of the early years," IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no. 12, pp.1349-1380, Dec. 2000.
2. Y. Rui, T.S. Huang, M. Ortega, and S. Mehrotra, "Relevance feed-back: A power tool for interactive content-based image retrieval," IEEE Trans. Circuits Syst. Video Technol., vol.8, no.5, pp.644-655, Sept. 1998.
3. J. Fauqueur and N. Boujemaa, "Logical query composition from local visual feature thesaurus," Third International Workshop on Content-Based Multimedia Indexing (CBMI'03), Rennes, France, Sept. 2003.
4. S. Jeong, K. Kim, B. Chun, J. Lee, and Y.J. Bae, "An effective method for combining multiple features of image retrieval," TENCON 99. Proc. IEEE Region 10 Conference, Korea, pp.982-985, Sept. 1999.
5. Y. Rui, T.S. Huang, and S. Mehrotra, "Content-based image retrieval with relevance feedback in MARS," Proc. IEEE Int. Conf. Image Processing, pp.815-818, 1997.
6. G. Aggarwal, TV. Ashwin, and S. Ghosal, "An image retrieval system with automatic query modification," IEEE Trans. Multimed., vol.4, no.2, pp.201-214, June 2002.
7. J. Friedman, T. Hastie, and R. Tibshirani, "Additive logistic regression: a statistical view of boosting." Dept. of Statistics, Stanford University Technical Report, 1998.
8. C.Y. Liu, J.J. Chen, and F.C. Chang, "A dynamically adapted retrieval algorithm for multi-instance image query with heterogeneous features," IEEE Consumer Communications and Networking Conference (CCNC), pp.627-629, Las Vegas, Nevada USA, Jan. 2004.
9. J.J. Chen, C.Y. Liu, and F.C. Chang, "The content-driven preprocessor of images for mpeg-7 descriptions," Journal on Systemics, Cybernetics and Informatics, vol.1, no.3, 2003.
10. F.C. Chang, H.M. Hang, and H.C. Huang, "Research friendly MPEG-7 software testbed," Image and Video Communication and Processing Conf., pp.890-901, Santa Clara, USA, Jan. 2003.
11. T. Ashwin, N. Jain, and S. Ghosal, "Improving image retrieval performance with negative relevance feedback," ICASSP, pp.1637-1640, May 2001.
12. X.S. Zhou and T.S. Huang, "Small sample learning during multimedia retrieval using biasmap," Computer Vision and Pattern Recognition (CVPR), pp.I-11-I-17, Dec. 2001.
13. C. Zhang and T. Chen, "An active learning framework for content-based information retrieval," IEEE Trans. Multimed., vol.4, no.2, pp.260-268, June 2002.
14. Multimedia Content Description Interface - Part 3: Visual, ISO/IEC JTC1/SC29/WG11, FDIS N4203, MPEG Committee, July 2001.
15. M. Kobayakawa, M. Hoshi, and T. Ohmori, "Interactive image retrieval based on wavelet transform," Proc. SCI'99 and ISAS'99, pp.76-85, Orland, Florida, July 1999.
16. Subjective Evaluation of the MPEG-7 Retrieval Accuracy Measure (ANMRR), ISO/IEC JTC1/SC29/WG11, M6029, MPEG Committee, May 2000.
17. B.S. Manjunath, P. Salembier, and T. Sikora, eds., Introduction to MPEG-7, John Wiley & Sons Ltd., Baffins Lane, Chichester, West Sussex PO19 1UD, England, 2002.
18. F.C. Chang and H.M. Hang, "Content-based image retrieval using both positive and negative feedback," International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, June 2004.
19. F.C. Chang and H.M. Hang, "A relevance feedback image retrieval scheme using multi-instance and pseudo image concepts," IS&T/SPIE Electronic Imaging 2005, San Jose, California, USA, Jan. 2005.