This paper presents a video indexing approach based only on audio classification. Indeed, we apply to an audio-visual document a set of methods for partitioning the associated audio data into homogeneous segments. The aim is to highlight semantically relevant items of a multimedia document by relying only on simple audio processing techniques. A simple algorithm to identify audio segments belonging to silence, music, speech and noise classes has been proposed.
A Video Indexing Approach Based on Audio Classification
BUGATTI, Alessandro;LEONARDI, Riccardo;ROSSI, Lorenzo
1999-01-01
Abstract
This paper presents a video indexing approach based only on audio classification. Indeed, we apply to an audio-visual document a set of methods for partitioning the associated audio data into homogeneous segments. The aim is to highlight semantically relevant items of a multimedia document by relying only on simple audio processing techniques. A simple algorithm to identify audio segments belonging to silence, music, speech and noise classes has been proposed.File in questo prodotto:
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