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Semantic indexing of multimedia documents

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2 Author(s)
Leonardi, R. ; Brescia Univ., Italy ; Migliorati, P.

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

Published in:

MultiMedia, IEEE  (Volume:9 ,  Issue: 2 )

Date of Publication:

Apr-Jun 2002

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