Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2007-04-30
2010-11-30
Mehta, Bhavesh M (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S181000, C382S276000, C382S280000
Reexamination Certificate
active
07844116
ABSTRACT:
Images within an image repository related to a selected image may be located despite cropping, rotating, and/or the application of a variety of other distortions to either the selected image and/or images in the image repository. Described exemplary approaches may use image digests produced using a multi-step process. In a first step, a discrete Fourier transform may be applied to produce an M×N frequency-based image matrix from an M×N image matrix containing elements that represent spatial image pixel values. In subsequent steps, matrix approximations may be applied to reduce the M×N frequency-based image matrix and to produce an image digest that reflects the content of the image. Further, an approach is described for generating a search threshold value that may be used to determine whether images digests associated with images in a repository are sufficiently similar to a search digest to be returned in a search result.
REFERENCES:
patent: 2004/0258243 (2004-12-01), Shin et al.
Mihcak, M.—“Robust image hashing via non-negative matrix factorizations”—ICASSP IEEE, May 14-19 2006, pp. 225-228.
Uhle et al—“Ambience Separation from Mono Recordings”—AES 30th International Conference, Mar. 15-17 2007, pp. 139-145.
Coskun, B.—“Spatio-Temporal Transform Based Video Hashing”—IEEE—Dec. 2006, pp. 1190-1208.
U.S. Appl. No. 11/851,774 to V. Monga, filed on Sep. 7, 2007.
Krasnic Bernard
Mehta Bhavesh M
Oliff & Berridg,e PLC
Xerox Corporation
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