Database architecture for content-based image retrieval

Toshikazu Kato

doi:10.1117/12.58497

1 April 1992 Database architecture for content-based image retrieval

Toshikazu Kato

Proceedings Volume 1662, Image Storage and Retrieval Systems; (1992) https://doi.org/10.1117/12.58497
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

This paper describes visual interaction mechanisms for image database systems. The typical mechanisms for visual interactions are query by visual example and query by subjective descriptions. The former includes a sketch retrieval function and a similarity retrieval function, while the latter includes a sense retrieval function. We adopt both an image model and a user model to interpret and operate the contents of image data from the user''s viewpoint. The image model describes the graphical features of image data, while the user model reflects the visual perception processes of the user. These models, automatically created by image analysis and statistical learning, are referred to as abstract indexes stored in relational tables. These algorithms are developed on our experimental database system, the TRADEMARK and the ART MUSEUM.

Citation Download Citation

Toshikazu Kato "Database architecture for content-based image retrieval", Proc. SPIE 1662, Image Storage and Retrieval Systems, (1 April 1992); https://doi.org/10.1117/12.58497

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