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Proceedings Paper

Structural segmentation for multimedia content-based information retrieval
Author(s): Marco Carli; Alberto Degli Esposti; Alessandro Micarelli; Alessandro Neri
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Paper Abstract

In this contribution we propose a novel semantic-based architecture to manage multimedia data. We propose an innovatory approach, introducing an abstraction level to study the relationships among the low level attributes, as color, motion, in a systematic way, before the visual image content estimation. Aim of this analysis is to unify the descriptors information and to gather them into structures that we call over-regions, which represent particular configurations of the objects to be recognized. This step will allow for the higher abstraction level effective object-based or event-based image recognition. The case-based reasoning paradigm is used in our approach for the high level analysis.

Paper Details

Date Published: 19 December 2001
PDF: 9 pages
Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); doi: 10.1117/12.451078
Show Author Affiliations
Marco Carli, Univ. degli Studi di Roma Tre (United States)
Alberto Degli Esposti, Univ. degli Studi di Roma Tre (Italy)
Alessandro Micarelli, Univ. degli Studi di Roma Tre (Italy)
Alessandro Neri, Univ. degli Studi di Roma Tre (Italy)

Published in SPIE Proceedings Vol. 4676:
Storage and Retrieval for Media Databases 2002
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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