2006
@inproceedings{TSB2006,
vgclass = {refpap},
author = {ten Brinke, Walter and David McG. Squire and John
Bigelow},
title = {The Meaning of an Image in Content-Based Image Retrieval},
editor = {Thibaud Latour and Micha\"{e}l Petit},
booktitle = {2nd International Workshop on Philosophical Foundations of Information
Systems Engineering (PHISE 2006), in conjunction with the 18th
International Conference on Advanced Information Systems Engineering
(CAiSE'06)},
address = {Luxembourg},
pages = {710--719},
month = {June~5},
year = {2006},
url = {http://ceur-ws.org/Vol-240/paper2.pdf},
abstract = {One of the major problems in CBIR is the so-called `semantic gap':
the difference between low-level features, extracted from images, and the
high-level `information need' of the user. Reaching that goal can be regarded as
a quest for similar `concepts', where a concept is loosely defined as ``what
words (or images) stand for, signify, or mean'' [1]. We first seek to establish
a metaphysical basis for CBIR. We look at ontological questions, such as `what
is similarity?' and `what is an image?' in the context of CBIR. We will
investigate these questions via thought experiments. We will argue that the
meaning of an image---the concept it stands for---rests on at least three
pillars: what actually can be seen on an image (its ontology), convention and
imagination.},
}