Structural segmentation for multimedia content-based information retrieval

Marco Carli; Alberto Degli Esposti; Alessandro Micarelli; Alessandro Neri

doi:10.1117/12.451078

19 December 2001 Structural segmentation for multimedia content-based information retrieval

Marco Carli, Alberto Degli Esposti, Alessandro Micarelli, Alessandro Neri

Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451078
Event: Electronic Imaging, 2002, San Jose, California, United States

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.

Citation Download Citation

Marco Carli, Alberto Degli Esposti, Alessandro Micarelli, and Alessandro Neri "Structural segmentation for multimedia content-based information retrieval", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451078

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