Layered indexing of home video based on audio signals

Tomomi Ogawa; Kiyoharu Aizawa

doi:10.1117/12.526632

18 December 2003 Layered indexing of home video based on audio signals

Tomomi Ogawa, Kiyoharu Aizawa

Proceedings Volume 5307, Storage and Retrieval Methods and Applications for Multimedia 2004; (2003) https://doi.org/10.1117/12.526632
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

In this paper, we propose a home video indexing using an audio information to detect an event both a rules-based method and a GMM-based method. Although exclusive audio segmentation and classification was usually used, various sounds overlap in practice, in which case an audio in which various sound overlapped is expressed by a labeling layered index. With the rules-based method, low-level audio features are used to determine indexes, which are classied such as speech, silence, music, and EVN(Environment Noise). The GMM-based method which uses the same features as the rule based method also classifies an audio into the four classes. Smoothing is applied in order to determine the index. We show experiments in a few home video data.

Citation Download Citation

Tomomi Ogawa and Kiyoharu Aizawa "Layered indexing of home video based on audio signals", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.526632

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