Image retrieval device, image retrieval method and storage...

Image analysis – Image transformation or preprocessing – Image storage or retrieval

Reexamination Certificate

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Details

C382S209000, C382S251000, C707S793000

Reexamination Certificate

active

07006714

ABSTRACT:
An image retrieval device and method capable of high speed image retrieval. The image retrieval device has a first coefficient transforming section to transform a first group of image feature descriptors extracted from image data accumulated in an image database and to generate a second group of image feature descriptors to be used for calculating similarity. The image retrieval device has a second coefficient transforming section to transform the first group of image feature descriptors extracted from image data of an inquired image and to generate a second group of image feature descriptors to be used for calculating similarity. The image retrieval device has a similarity calculating section to compare the second group of image feature descriptors for each piece of image data produced by the first coefficient transforming section with the second group of image feature descriptors for the inquired image transformed by the second coefficient transforming section.

REFERENCES:
patent: 5555555 (1996-09-01), Sato et al.
patent: 6192150 (2001-02-01), Leow et al.
patent: 6345275 (2002-02-01), Lee
patent: 6665442 (2003-12-01), Sekiguchi et al.
patent: 6681061 (2004-01-01), Agata et al.
patent: 6870965 (2005-03-01), Kim et al.
patent: 0626655 (1994-11-01), None
patent: 05347000 (1993-12-01), None
patent: 8-249349 (1996-09-01), None
Yue et al. “Texture Image Retrieval by Universal Classification for Wavelet Transform Coefficients.” Proc. Int. Conf. on Image Processing, vol. 3, Oct. 26, 1997, pp. 220-223.
Gonzalez et al. “Digital Image Processing.” Addison-Wesley Publishing Company, Inc. 1992, pp. 143-145 and 374-380.
Article “Estimations of previewed Road Curvatures and Vehicular Motion by a vision-based Data Fusion Scheme” Authors: Jin-Chuan Hsu, Wen-Liang Chen, Ruey-Horng Lin, Edge Chu Yeh; published 1997.
“Image Retrieval System using Compact Color Layout Descriptor” Authors: Eiji Kasutani, Akio Yamada, Mutsumi Ohta; Materials of the 4thImage Media Processing Symposium, Japan, Sep. 29, 1999, IMPS99, pp. 89-90.
“Proposal for a High-Speed Searching Scheme Using Information in Compressed Video as a Key” Authors: Eiji Kasutani, Keiji Maeda, Hisashi Miyamori, Hideyoshi Tominaga; Abstracts of the 1997 Annual Meeting of the Institute of Image Information and Television Engineers, Japan, Jul. 23, 1997, No. 15-10, pp. 191-192.
“High Speed Target Searching of MPEG Video Based on Time Series Evaluation of Low Order DCT Coefficients” Authors: Eiji Kasutani, Akio Yamada, Mutsumi Ohta; Proceedings of the 1999 General Meeting of Electronics, Information and Communications Engineers, Japan, Mar. 8, 1999, No. D-12-7, p. 180.
“Format-Independent Scheme for High Speed Searching for Similar Video Segments” Authors: Eiji Kasutani, Akio Yamada, Mutsumi Ohta; Proceedings of the 1999 General Meeting of Electronics, Information and Communications Engineers Systems Society Meeting, Japan, Aug. 16, 1999 No. D-12-6, p. 170.

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