1996
@inproceedings{ACG1996,
vgclass = {refpap},
vgproject = {cbir},
author = {Edoardo Ardizzone and La Cascia, Marco and Di Ges\'{u}, Vito},
title = {Content Based Indexing of Image and Video Databases by
Global and Shape Features},
booktitle = {Proceedings of the 13th International Conference on Pattern Recognition (ICPR'96)},
address = {Vienna, Austria},
publisher = {IEEE},
month = {August},
year = {1996},
abstract = {Indexing and retrieval methods based on the image content
are required to effectively use information from the larger and larger
repositories of digital images and videos currently available. Both
global (colour, texture, motion, etc...) and local (object shape,
etc...) features are needed to perform a reliable content based
retrieval.
In this paper we present a method for automatic extraction of global
image features, like colour and motion parameters, and their use for
data restriction in video database querying. Further retrieval is
therefore accomplished, in a restricted set of images, by shape feature
(skeleton, local symmetry, moments, correlation, etc.) local search.
The proposed indexing methodology has been developed and tested inside
JACOB, a prototypal system for content-based video database querying.},
}