Fast image retrieval using multi-scale edge representation of im

Image analysis – Pattern recognition – Classification

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382224, 382305, 382168, 358403, 707 2, 707 3, 707102, 707104, G06K 954, G06K 962, H04N 100

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06072904&

ABSTRACT:
An image retrieval system for retrieving images from a data base in dependence upon the degree of correspondence with a user-input target image. The target image and each image in the data base are characterized by a vector of edge characteristics within each image. Retrieval is effected by a comparison of the characteristic vectors, rather than a comparison of the images themselves. To optimize performance, a set of characteristic vectors, at different levels of abstraction of the image, are associated with each data base image; images which are similar to the target image, at any level of abstraction, are retrieved. To further optimize the speed of search, the data base is partitioned into clusters, and the search is limited to the cluster most similar to the target image.

REFERENCES:
patent: 5519789 (1996-05-01), Etoh
patent: 5631971 (1997-05-01), Sparrow
patent: 5644765 (1997-07-01), Shimura et al.
patent: 5802361 (1998-09-01), Wang et al.
patent: 5805746 (1998-09-01), Miyatake et al.
patent: 5819288 (1998-10-01), De Bonet
patent: 5852823 (1998-12-01), De Bonet
patent: 5893095 (1999-04-01), Jain et al.
patent: 5899999 (1999-05-01), De Bonet
Remias, et al "Block-Oriented image decomposition and retrieval in image database systems," IEEE, pp. 85-92, 1996.
Eakins "Retrieval of trade-mark images by shape feature--The Artisan Project," Institution of Elect. Engineers, pp. 1-6, 1996.
Shiotani et al, "Image retrieval System Using an Iconic Thesaurus," IEEE, pp. 44-48, Apr. 1997.
Liu Sheng, et al "Patient image Retrieval: An object-oriented Coupled Knowledge-Base/Database Approach," IEEE, pp. 89-100, 1992.
Yihong, et al "An image database system with fast image indexings Capability Based on Color Histograms, " pp. 407-411, IEEE, 1994.
Del-Bimbo, et al "Effective image Retrieval Using Deformable Templates," IEEE, pp. 120-124, 1996.
Androutsos, et al "Directional Detail Histogram for content Based image retrieval," IEEE, pp. 225-228, Jun. 1997.
Androutsos, et al "Efficient image Database Filtering Using Colour Vector Techniques," IEEE, 827-830, Jun. 1997.
W. Frei and C.C. Chen, "Fast Boundary Detection: A Generalization and a New Algorithm", IEEE Trans. Computers, vol. C-26, No. 10, pp. 988-998, 1997.
M. Abdel-Mottaleb et al., "Conivas: Content-Based Image and Video Access System", ACM Multimedia96, Boston, 1996.
M. Flicker et al., "Query by Image and Video Contrast: The QBIC System", IEEE Computer, 28(9), pp. 23-32, Sep. 1996.
K. Hirata et al., "Query by Visual Example", Advances in Database Technology EDBT 1992, Third International Conference on Extending Database Technology, Viena, Austria, Springer-Verlag, 1992.
J. Canny, "A Computational Approach to Edge Detection", IEEE Trans. On Patern Analysis and Machine Intelligence, vol. 8, No. 6, pp. 679-698, Nov. 1986.
Toshikazu Kato et al.; "A sketch Retrieval Method for Full Color Image Database"--Query by Visual Example-; Electrotechnical Laboratory, MITI, Tsukuba 305, Japan; Abstract.
Anil K. Jain and Aditya Vailaya; "Image Retrieval Using Color and Shape"; Department of Computer Science, Michigan State University; Nov. 1995; Abstract.

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