Image retrieval by syntactic characterization of appearance

Details Image retrieval by syntactic characterization of appearance Image retrieval by syntactic characterization of appearance

1997-10-28

1999-11-16

Amsbury, Wayne

Data processing: database and file management or data structures

Database design

Data structure types

707 4, G06F 1730

Patent

active

059874562

ABSTRACT:
An image retrieval method which includes producing multiscale vectors associated with points in a set of database images, indexing the database vectors to produce a database vector index, producing query multiscale vectors associated with points in a query image, and matching the query vectors with the indexed database vectors to identify a database image which is similar to the query image. Each of the database multiscale vectors and the query multiscale vectors includes multiple single scale vectors associated with corresponding spatial scales. The method can include applying a single scale image processing procedure at each of the spatial scales to produce single scale vectors and combining single scale vectors each associate with a given point in an image to form a multiscale vector associated with that point. The single scale image processing procedure can include evaluating multiple smoothed spatial derivatives of image intensity at a point in an image and transforming the spatial derivatives to produce a single scale vector which is insensitive to rotation of the image about the point.

REFERENCES:
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patent: 5579471 (1996-11-01), Barber et al.
patent: 5692012 (1997-11-01), Virtamo et al.
patent: 5819288 (1998-10-01), De Bonet
Ravela et al., "Image Retrieval Using Scale-Space Matching," ECCV 96, pp. 273-282, Apr. 1996.
Schmid et al., "Combining greyvalue invariants with local constraints for object recognition," IEEE, Proc. Computer Vision and Pattern Recognition, pp. 872-877, (Jun. 1996).

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