ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
25.83
Session ID : BCS2001-63
Conference information
A Study on Automatic Summary Extraction from AV Data According to Visual Features
Masaru SUGANOYasuyuki NAKAJIMAHiromasa Yanagihara
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
We have already proposed the automatic summary extraction method from the MPEG coded audio-visual data, by using audio-visual characteristics on compressed domain. Our previous method assumes that the visual features such as motion are known a priori. In this paper, we show the extended method for extracting the audio-visual summary without any knowledge of the content by adaptively evaluating the visual features. Additionally, in order to extract summary, our method utilizes some descriptors defined in the MPEG-7 standard and can generate some MPEG-7 descriptions; our method is very flexible and can be easily applicable to the MPEG-7 applications.
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© 2001 The Institute of Image Information and Television Engineers
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