Ranking of each normal distribution in an approximated mixture of normal distributions of search word's frequency in VOD lecture(Competition 2)

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概要

• 論文の詳細を見る

• 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.

• 2011-11-11

著者

• Shiina Hiromitsu

  Faculty Of Informatics Okayama University Of Science

• Koyama Noboru

  Graduate School Of Informatics Okayama University Of Science

• Yanagi Kikuo

  Faculty Of Informatics Okayama University Of Science

関連論文

• Ranking of each normal distribution in an approximated mixture of normal distributions of search word's frequency in VOD lecture(Competition 2)
• Detecting Movie Segments Using Gaussian Mixture Models for VOD Lectures with Japanese Subtitles

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