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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/3887
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