Multimedia Reasoning with f-SHIN
Nikos Simou, Thanos Athanasiadis, Vassilis Tzouvaras, Stefanos Kollias · 2007
Effective management and exploitation of multimedia documents requires extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly rich but imprecise information about a multimedia document. In this paper, a multimedia reasoning architecture is presented using the fuzzy extension of expressive SHIN , f-SHIN . First a segmentation algorithm generates a set of over- segmented regions and a classification process is employed to assign those regions with semantic labels. A semantic- based refinement of the segmentation is follows and this in- formation initializes the ABox of a fuzzy-knowledge that is used for multimedia reasoning. The proposed approach was tested on outdoor domain and shows promising results.