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ABSTRACT
<p>The authors propose two approaches for semantic indexing of audio-visual documents, based on bottom-up and top-down strategies. They base the first approach on a finite-state machine using low-level motion indices extracted from an MPEG compressed bitstream. The second approach innovatively performs semantic indexing through Hidden Markov Models.</p>
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CITATION
Riccardo Leonardi, Pierangelo Migliorati, "Semantic Indexing of Multimedia Documents", IEEE MultiMedia, vol. 9, no. , pp. 44-51, April-June 2002, doi:10.1109/93.998057
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