DocumentCode :
3286723
Title :
An extraction method of hierarchical Web communities for Web video retrieval
Author :
Harakawa, Ryosuke ; Hatakeyama, Yutaka ; Ogawa, Tomomi ; Haseyama, Miki
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
4397
Lastpage :
4401
Abstract :
This paper presents an extraction method of hierarchical Web communities for Web video retrieval. In the proposed method, Web communities containing Web videos whose topics are similar to each other are extracted by using hyperlinks between Web pages including Web videos and their video features. Furthermore, we focus on graph structure of hyperlinks between Web pages including Web videos which belong to the Web communities. Then, by using strongly connected components and betweenness centrality of the graph, hierarchical structure of the Web communities can be estimated. Consequently, users can easily find Web videos including related topics in each hierarchy, and desired Web videos can be effectively retrieved.
Keywords :
Internet; feature extraction; graph theory; video retrieval; Web pages; Web video retrieval; extraction method; graph structure; hierarchical Web communities; hierarchical structure; hyperlinks; video features; Hierarchical structure; Web community; Web video retrieval; betweenness centrality; strongly connected components;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738906
Filename :
6738906
Link To Document :
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