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

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