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Movie Scene Classification Using Audio Signals in a Home-Theater System

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Recent research projects have attempted to realize high realism of reproduced sound fields. We propose an innovative method, an automatic scene discrimination, for a user-centric rendering of enhanced realism in the home theater application. The method categorizes various scenes of movie contents based on their audio characteristics, and applies a pre-determined signal processing for each category in real-time. The training model was able to classified new movie contents with a 71% correct ratio. Listeners reported that this scene-based adaptive sound processing bring higher realism.

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Permalink: http://www.aes.org/e-lib/browse.cfm?elib=19646

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