Authors:
Giuseppe Scardino
1
;
Ignazio Infantino
1
and
Salvatore Gaglio
2
Affiliations:
1
Istituto di Calcolo e Reti ad Alte Prestazioni ICAR-CNR, Italy
;
2
DINFO, Italy
Keyword(s):
Visual image search, images clustering, image annotation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
The paper deals with the description of a framework to create shape models of an object using images from the web. Results obtained from different image search engines using simple keywords are filtered, and it is possible to select images viewing a single object owning a well-defined contour. In order to have a large set of valid images, the implemented system uses lexical web databases (e.g. WordNet) or free web encyclopedias (e.g. Wikipedia), to get more keywords correlated to the given object. The shapes extracted from selected images are represented by Fourier descriptors, and are grouped by K-means algorithm. Finally, the more representative shapes of main clusters are considered as prototypical contours of the object. Preliminary experimental results are illustrated to show the effectiveness of the proposed approach.