Database architecture for content-based image retrieval
Inhaltsverzeichnis
Referenz
T. Kato: Database architecture for content-based image retrieval. Proc. SPIE 1662. Image Storage and Retrieval Systems, vol. 1662, pp. 112-123, 1992
DOI
http://dx.doi.org/10.1117/12.58497
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 users 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.
Extended Abstract
Bibtex
@proceeding{doi:10.1117/12.58497,
author = {Kato, Toshikazu},
title = {Database architecture for content-based image retrieval},
journal = {Proc. SPIE},
volume = {1662},
number = {},
pages = {112-123},
year = {1992},
doi = {10.1117/12.58497},
URL = { http://dx.doi.org/10.1117/12.58497 http://de.evo-art.org/index.php?title=Database_architecture_for_content-based_image_retrieval},
eprint = {}
}
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