On parallel image retrieval with dynamically extracted features

Author:

Kao O.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference30 articles.

1. J. Ashley, R. Barber, M. Flickner, J. Hafner, D. Lee, W. Niblack, D. Petkovic, Automatic and semi-automatic methods for image annotation and retrieval in QBIC, in: Storage and Retrieval for Image and Video Databases III, vol. 2420 of SPIE Conference Proceedings, 1995, pp. 24–35.

2. Surfimage: a flexible content-based image retrieval system;Nastar;Proceedings of ACM Multimedia,1998

3. VisualSEEk: a fully automated content-based image query system;Smith;Proceedings of ACM Multimedia,1996

4. C. Venters, M. Cooper, A review of content-based image retrieval systems, Tech. Rep. jtap-054, Manchester Visualization Centre, University of Manchester, 2000.

5. Content-based image retrieval at the end of the early years;Smeulders;IEEE Transactions on Pattern Analysis and Machine Intelligence,2000

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