DocumentCode :
3707370
Title :
Extraction of hierarchical structure of web communities including salient keyword estimation for web video retrieval
Author :
Ryosuke Harakawa;Takahiro Ogawa;Miki Haseyama
Author_Institution :
Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, 060-0814, Japan
fYear :
2015
Firstpage :
1021
Lastpage :
1025
Abstract :
In this paper, we present a method for extraction of hierarchical structure of Web communities including salient keyword estimation for Web video retrieval. The following two contributions of the proposed method enable retrieval of the desired Web videos even if users cannot input suitable queries that identify the desired contents. First, our method realizes the extraction of hierarchical structure of Web communities, i.e., Web video sets with similar topics by using heterogeneous features of Web videos and link relationships between Web videos obtained via metadata “related videos”. Second, we can estimate salient keywords to identify the contents of each obtained Web community at a glance based on text attached to Web videos such as title, the heterogeneous features of Web videos and the link relationships between Web videos. Experimental results on actual Web videos verify that our method can realize accurate retrieval of the desired Web videos via the hierarchical structure of Web communities with their salient keywords.
Keywords :
"Feature extraction","Metadata","Estimation","Color","Shape","Data mining","Distribution functions"
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICIP.2015.7350954
Filename :
7350954
Link To Document :
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