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Paper Abstract and Keywords
Presentation 2014-02-17 14:45
A note on hierarchical structure extraction of Web video communities and its application to large-scale datasets
Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a hierarchical structure extraction method of Web video communities which can be applied to large-scale datasets. The proposed method extracts hierarchical structure of Web video communities by repeatedly dividing Web video sets based on strongly connected components and edge betweenness by using hyperlinks between Web pages including Web videos and their video features. In the proposed method, clustering is performed before calculating Web video features and dividing Web video sets on the bases of strongly connected components and edge betweenness. Thus, it becomes feasible to apply our method to large-scale datasets. Furthermore, by selecting Web video communities according to their hierarchical structure, users' desired Web videos can be retrieved.
Keyword (in Japanese) (See Japanese page) 
(in English) Web video community / hierarchical structure / video retrieval / large-scale dataset / / / /  
Reference Info. ITE Tech. Rep., vol. 38, no. 7, ME2014-14, pp. 275-280, Feb. 2014.
Paper # ME2014-14 
Date of Issue 2014-02-10 (HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2014-02-17 - 2014-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processing, etc. 
Paper Information
Registration To ME 
Conference Code 2014-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on hierarchical structure extraction of Web video communities and its application to large-scale datasets 
Sub Title (in English)  
Keyword(1) Web video community  
Keyword(2) hierarchical structure  
Keyword(3) video retrieval  
Keyword(4) large-scale dataset  
1st Author's Name Ryosuke Harakawa  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Takahiro Ogawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Miki Haseyama  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Date Time 2014-02-17 14:45:00 
Presentation Time 15 
Registration for ME 
Paper # ITE-HI2014-14,ITE-ME2014-14,ITE-AIT2014-14 
Volume (vol) ITE-38 
Number (no) no.7 
Page pp.275-280 
#Pages ITE-6 
Date of Issue ITE-HI-2014-02-10,ITE-ME-2014-02-10,ITE-AIT-2014-02-10 

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