Refereed full papers (journals, book chapters, international conferences)

1992

@inproceedings{Kat1992,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Toshikazu Kato},
	title =	{Database architecture for content-based image retrieval},
	editor =	{Albert A. Jamberdino and Wayne Niblack},
	booktitle =	{Image Storage and Retrieval Systems},
	address =	{San Jose, California},
	volume =	{1662},
	series =	{SPIE Proceedings},
	pages =	{112--123},
	month =	{February},
	year =	{1992},
	url =	{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 (QVE) and query by subjective descriptions
	(QBD).  The former includes a sketch retrieval function and a
	similarity retrieval function, and 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 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 as abstract indexes stored in relational tables.
	These algorithms are developed on our experimental database system, the
	TRADEMARK and the ART MUSEUM.},
}