We propose two approaches for semantic indexing of audio–visual documents, based on bottom-up and top-down strategies. We 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.
Semantic Indexing of Multimedia Documents
LEONARDI, Riccardo;MIGLIORATI, Pierangelo
2002-01-01
Abstract
We propose two approaches for semantic indexing of audio–visual documents, based on bottom-up and top-down strategies. We 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.File in questo prodotto:
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