Semantic modeling and knowledge representation in multimedia databases

W. Al-Khatib, Y.F. Day, A. Ghafoor, P.B. Berra
<span title="">1999</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="" style="color: black;">IEEE Transactions on Knowledge and Data Engineering</a> </i> &nbsp;
In this paper, we present the current state of the art in semantic data modeling of multimedia data. Semantic conceptualization can be performed at several levels of information granularity, leading to multilevel indexing and searching mechanisms. Various models at different levels of granularity are compared. At the finest level of granularity, multimedia data can be indexed based on image contents, such as identification of objects and faces. At a coarser level of granularity, indexing of
more &raquo; ... imedia data can be focused on events and episodes, which are higher level abstractions. In light of the above, we also examine modeling and indexing techniques of multimedia documents.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1109/69.755616</a> <a target="_blank" rel="external noopener" href="">fatcat:k2mock4uafgvrgxu2a2i5f5sbu</a> </span>
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