1998
@article{CDV1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Jacopo M. Corridoni and Del Bimbo, Alberto and Enrico Vicario},
title = {Image retrieval by color semantics with incomplete knowledge},
journal = {Journal of the American Society for Information Science},
volume = {49},
number = {3},
pages = {267--282},
year = {1998},
abstract = {Retrieval by content from image databases faces the
distance between low-level syntactic features that can be automatically
detected by conventional image processing tools and high level
semantics which captures user's filtering intentions. A system is
presented which bridges this gap by resorting to a theory formulated by
Johannes Itten in 1960, and widely accepted in the community of fine
arts, to support objective interpretation of color arrangements over
paintings.
The system relies upon a schema distinguishing archiving, querying,
and retrieval stages. In the archiving stage, images are associated
with a description capturing the spatial arrangement of regions with
homogeneous chromatic attributes, as detected by the use of an
automatic image processing tool. Imprecise descriptions are supported
through the adoption of a hierarchical index providing a
multi-resolution representation of image contents. In the querying
stage, a visual iconic language allows the expression of sentences
about chromatic contents in accordance with a high-level semantic
model of colors combinations. By permitting flexible expression of
abstract, non-literal, properties, the model supports intentional
vagueness and incompleteness in the specification of searching
queries. In the retrieval stage, a similarity score is introduced,
which accounts for the degree with which a query assertion applies to
a given image. The measure of similarity drives the traversal of the
hierarchical index up to find the minimum level of description
precision, permitting a definite decision about the satisfaction of
the query on each stored image.},
}