A novel Bayesian framework for relevance feedback in image content-based retrieval systems

Pattern Recognition

Volumn 39, Issue 9, 2006, Pages 1622-1632

  de Ves, E ^a   Domingo, J ^a   Ayala, G ^a   Zuccarello, P ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Content based image retrieval systems; Low level image descriptors; User preferences modeling; Visual information retrieval

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGE ANALYSIS; PROBABILITY DISTRIBUTIONS; QUERY LANGUAGES; USER INTERFACES;

CONTENT-BASED IMAGE RETRIEVAL SYSTEMS; LOW LEVEL IMAGE DESCRIPTORS; USER PREFERENCES MODELING; VISUAL INFORMATION RETRIEVAL;

INFORMATION RETRIEVAL;

EID: 33744997452     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.01.006     Document Type: Article

References (21)

1. Smeulders A., Santini S., Gupta A., and Jain R. Content-based image retrieval at the end of the early years. IEEE transactions on Pattern Anal. Mach. Intell. 22 12 (2000) 1349-1379
2. Del Bimbo A. Visual Information Retrieval (1999), Morgan Kaufmann, Los Altos, CA
3. Iqbal Q., and Aggarwal J. Retrieval by classification of images containing large manmade objects using perceptual grouping. Pattern Recog. 35 7 (2002) 1463-1479
4. B. Prasad, K. Biswas, S. Gupta, Region-based image retrieval using integrated color, shape and location index. Comput. Vision Image Understanding 94, 193-233. URL 〈http://citeseer.csail.mit.edu/prasad03regionbased.html〉.
5. M. Das, E. Riseman, Feature selection for robust color image retrieval, in: Proc. of the ARPS Image Understanding Workshop, vol. 1, New Orleans, LA, 1997, 701-706. URL 〈 http://vis-www.cs.umass.edu/publications/darpa.html〉.
6. Pentland A., Picard R., and Sclaroff S. Photobook: content-based manipulation of image databases. Int. J. Comput. Vision 18 3 (1996) 233-254
7. Gevers T., and Smeulders A.W.M. The pictoseek www image search system. IEEE International Conference on Multimedia Computing and Systems (1999), Florence, Italy 264-269
8. Assfaig J., Del Bimbo A., and Pala P. Three-dimensional interfaces for querying by example in content-based image retrieval. IEEE Trans. Visual Comput. Graph. 8 4 (2002) 305-318
9. R. Veltkamp, M. Tanase, Content-based image retrieval systems: a survey. Technical Report UU-CS-200034, Department of Computing Science, Utrecht University. URL 〈http://citeseer.csail.mit.edu/veltkamp00contentbased.html〉.
10. P. Stanchev, Using image mining for image retrieval, in: IASTED Conference Computer Science and Technology, Cancun, Mexico, 2003, pp. 214-218. URL 〈http://citeseer.csail.mit.edu/stanchev03using.html〉.
11. Rocchio J. Relevance feedback in information retrieval, in SMART Retrieval System-Experiments in Automatic Document Processing (1971), Prentice-Hall, New York
12. Ciocca G., and Schettini R. A relevance feedback mechanism for content-based image retrieval. Information Processing and Management 35 1 (1999) 605-632
13. Cox I., Miller M., Minka T., Papathomas T.V., and Yianilos P. The Bayesian image retrieval system, pichunter: theory, implementation and psycholphysical experiments. IEEE Trans. on Image Process. 9 1 (2000) 20-37
14. De Freitas N., Brochu E., Barnard K., Duygulu P., and Forsyth D. Bayesian models for massive multimedia databases: a new frontier. Bayes. Statist. 7 (2003)
15. Rui Y., Huang S., Ortega M., and Mehrotra S. Relevance feeback: a power tool for interactive content-based image retrieval. IEEE Transaction on Circuits and Video Technology 8 5 (1998)
16. Ishikawa Y., Subramanya R., and Faloutsos C. Mindreader: querying databases through multiple examples. Proceedings of 24th International Conference on Very Large Databases (VLDB). New York, USA (1999) 264-269
17. DeGroot M. Optimal Statistical Decisions (2004), Wiley Classics Library, Wiley, New York
18. Gelman A., Carlin J., Stern H., and Rubin D. Bayesian Data Analysis. second ed. (2003), Chapman & Hall and CRC, London, Boca Raton, FL
19. Soille P. Morphological Image Analysis: Principles and Applications (2003), Springer, Berlin
20. Ayala G., and Domingo J. Spatial size distributions. Applications to shape and texture analysis. IEEE Trans. Pattern Anal. Mach. Intell. 23 12 (2001) 1430-1442
21. Ramsay J., and Silverman B.W. Functional Data Analysis, Springer Series in Statistics (1997), Springer, New York