Content clustering based on users' subjective evaluation

Yohei Suda, Kyoko Yamori, Yoshiaki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

User's demand of the quality of streaming service depends on intrinsic characteristics of the content. Various items can be considered as a characteristic. These characteristics are rated on a scale of intensity from 1 to 5. In this paper, it is denoted that intensity based on sound or image quality is a characteristic of the content. A subjective evaluation experiment was carried out on several genres of content. The relation between content characteristics and content types is shown by using, principal component analysis. Then, based on the image quality and sound quality, the content is divided into several groups using cluster analysis.

Original languageEnglish
Title of host publication6th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2005 - Proceedings
PublisherIEEE Computer Society
Pages177-182
Number of pages6
ISBN (Print)4885522161, 9784885522161
DOIs
Publication statusPublished - 2005
Event6th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2005 - Yangon, Myanmar
Duration: 2005 Nov 92005 Nov 10

Publication series

Name6th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2005 - Proceedings
Volume2005

Conference

Conference6th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2005
Country/TerritoryMyanmar
CityYangon
Period05/11/905/11/10

ASJC Scopus subject areas

  • Engineering(all)

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