Beyond query by example

Author

Santini, Simone ; Jain, Ramesh

Author_Institution

Dept. of Electr. Eng., California Univ., San Diego, La Jolla, CA, USA

fYear

1998

fDate

7-9 Dec 1998

Firstpage

3

Lastpage

8

Abstract

This paper considers some of the problems we found trying to extract meaning from images in database applications, and proposes some ways to solve them. We argue that the meaning of an image is an ill-defined entity, and it is not in general possible to derive from an image the meaning that the user of the database wants. Rather, we should be content with a correlation between the intended meaning and simple perceptual clues that databases can extract. Rather than working on the impossible task of extracting unambiguous meaning from images, we should provide the user with the tools he needs to drive the database in the areas of the feature space where “interesting” images are

Keywords

image retrieval; user interfaces; visual databases; correlation; database applications; feature space; image database search; image meaning; image recognition; intended meaning; perceptual clues; query; user interface; Displays; Engines; Extraterrestrial measurements; Geometry; Image databases; Oils; Shape; Solid modeling; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1998 IEEE Second Workshop on

Conference_Location

Redondo Beach, CA

Print_ISBN

0-7803-4919-9

Type

conf

DOI

10.1109/MMSP.1998.738904

Filename

738904