Optimal high-speed multi-resolution retrieval method on...

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000, C707S793000

Reexamination Certificate

active

09781291

ABSTRACT:
An optimal high-speed multi-resolution retrieval method includes the steps of sorting all data contained in a database into a desired number of clusters each composed of data having similar features, deriving the lower bound of the distance between each cluster and a query, removing clusters having no possibility to be determined as best matches, searching, for best matches, data of clusters having the possibility to be determined as best matches, and inducing an inequality property based on a multi-resolution data structure for reducing unnecessary feature matching computation involved in a search procedure to reduce a large quantity of calculation.

REFERENCES:
patent: 2002/0002550 (2002-01-01), Berman
Andrew P. Berman, Linda G. Shapiro; “Efficient Content-Based Retrieval: Experimental Results”, Content-Based Access of Image and Video Libraries, 1999. (CBAIVL '99) Proceedings, IEEE Workshop on, Jun. 22, 1999, pp. 55-61.
Andrew P. Berman, Linda G. Shapiro; “A Flexible Image Database System for Content-Based Retrieval”, Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on, vol. 1, Aug. 16-20, 1998, pp. 894-898 vol. 1.
Krishnamachari, S.; Abdel-Mottaleb, M.; “Image browsing using hierarchical clustering”, Computers and Communications, 1999 Proceedings. IEEE International Symposium on, Jul. 6-8, 1999, pp. 301-307.

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