An evaluation of the robustness of image retrieval based on vector quantization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2195, Issue , 2001, Pages 474-481

  Teng, Shyhwei ^a   Lu, Guojun ^a  

^a UNIVERSITY OF BALLARAT   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; VECTOR QUANTIZATION;

CONTENT BASED IMAGE RETRIEVAL; IMAGE RETRIEVAL SYSTEMS; POTENTIAL PROBLEMS;

SEARCH ENGINES;

EID: 84946781260     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45453-5_61     Document Type: Conference Paper

References (13)

1. Y. Gong, H. Zhang and C. Chuan. "An image database system with fast image indexing capability based on colour histograms", Proceedings of IEEE 10‘s Ninth Annual International Conference, Singapore, 22-26 August 1994, pp. 407-411.
2. S. K. Chan, Content-based Image Retrieval, MSc thesis, National University of Singapore, 1994.
3. M. J. Swain and D. H. Ballard. "Color indexing", Int. J. Comput. Vision, 7: 11-32. 1991.
4. G. D. Finlayson, Colour Object Recognition, MSc Thesis, Simon Fraser University, 1992.
5. W. Niblack et al. "QBIC Project: querying images by content, using colour, texture, and shape" Proceedings of Conference on Storage and Retrieval for Image and Video Databases, 1-3 Feb. 1993, San Jose, California, US, SPIE Vol. 1908, pp. 1908-1920.
6. V.D. Lecce and A. Guerriero. "An elvalution of the effectiveness of image features for image retrieval", Journal of Visual Communication and Image Representation 10, 1999, pp. 351-362.
7. G. Lu and S. Teng. "A Novel Image Retrieval Technique based on Vector Quantization", Computational S. Intelligence for Modeling Control and Automation, February 1999, Australia, pp. 36-41.
8. S. Teng and G. Lu. "Performance study of image retrieval based on vector quantization", ICCIMADE’01: International Conference on Intelligent Multimedia and Distance Education Conference, 1-3 June 2001, Fargo, ND, USA.
9. W. Niblack et al. "QBIC Project: querying images by content, using colour, texture, and shape" Proceedings of Conference on Storage and Retrieval for Image and Video Databases, 1-3 Feb. 1993, San Jose, California, US, SPIE Vol. 1908, pp. 1908-1920.
10. QBIC Home Page, http://wwwqbic.almaden.ibm.com/.
11. G. Salton, Introduction to Mordern Information Retrieval, McGraw-Hill Book Company, 1983.
12. G. Lu and A. Sajjanhar. "On performance measurement of multimedia information retrieval systems", International Conference on Computational Intelligence and Multimedia Applications, 9-11 Feb. 1998, Monash University, pp. 781-787.
13. M.J. Swain. "Interactive indexing into image database", Proceedings of Conference on Storage Retrieval Image Video Databases, W, 1-3 Feb. 1993, San Jose, California, US, SPIE Vol. 1908.