Feature relevance learning with query shifting for content-based image retrieval

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 4, 2000, Pages 250-253

  Heisterkamp, Douglas R ^a   Peng, Jing ^a   Dai, H K ^a  

^a Oklahoma State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; DISCRIMINANT ANALYSIS;

CONTENT BASED IMAGE RETRIEVAL; FEATURE RELEVANCE; INPUT VARIABLES; LINEAR DISCRIMINANT ANALYSIS; LOCAL FEATURE; LOCAL NEIGHBORHOOD STRUCTURES; RETRIEVAL METHODS; RETRIEVAL PERFORMANCE;

PATTERN RECOGNITION SYSTEMS;

EID: 0042772768     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (11)

1. M. F. et al. Query by image and video content: The qbic system. IEEE Computer, pages 23-31, September 1995.
2. J. H. Friedman. Flexible metric nearest neighbor classification. Technical report, Department of Statistics, Stanford University, 1994.
3. D. A. Grossman and O. Frieder. Information Retrieval: Alogithms and Heuristics. Kluwer, 1999.
4. Y. Ishikawa, R. Subramanya, and C. Faloutsos. Mindreader: Querying databases through multiple examples. Technical Report CMU-CS-98-119, Carnegie Mellon University, 1998.
5. J. Liang. Multivariate data generate software. http://isl.ee.washington.edu/IAPR/ICPR00/gendata/ packages/gendata.tar.gz.
6. T. Minka and R. Picard. Interactive learning with a 'society of models. Pattern Recognition, 30(4):565-81, April 1997.
7. P. Murphy and D. Aha. Uci repository of machine learning databases. www.cs.uci.edu/~mlearn/MLRepository.html.
8. J. Peng, B. Bhanu, and S. Qing. Probabilistic feature relevance learning for content-based image retrieval. Computer Vision and Image Understanding, 75(1/2): 150-164, 1999.
9. Y. Rui, T. Huang, and S. Mehrotra. Content-based image retrieval with relevance feedback in mars. In Proceedings of IEEE International Conference on Image Processing, pages 815-818, October 1997.
10. P. Schauble. Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases. Kluwer, Boston, 1997.
11. S. S. Wilks. Mathematical Statistics. John Wiley & Sons, Inc., New York, 1963.