Proceedings of the symposium of Japanese Society of Computational Statistics
Online ISSN : 2189-583X
Print ISSN : 2189-5813
ISSN-L : 2189-5813
25
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Ranking of each normal distribution in an approximated mixture of normal distributions of search word's frequency in VOD lecture(Competition 2)
Noboru KoyamaHiromitsu ShiinaKikuo Yanagi
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 33-36

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Abstract

A search system for VOD lectures is useful if it beyond the search of only text. To facilitate better searching for movie segments of VOD lectures with Japanese subtitles, we propose a method of using subtitles and a solving maximum likelihood detection from a mixture of normal distributions. The detection is performed by a statistical method by using the EM algorithm. This allows to can estimate parameters of each normal distribution and the number of their compositions. In addition to improving evaluation of movie segments, in order to provide movie segment rankings, we evaluate ranking of each normal distribution in an approximated mixture of normal distributions of a search word's frequency. Rankings is computed by distances of between a mixture of normal distribution and removed distribution which removed one normal distribution from a mixture of normal distributions.

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© 2011 Japanese Society of Computational Statistics
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