Paper Info
Title
Support for Video Hosting Service Users Using Folksonomy and Social Annotation
Abstract
Recently, the video hosting is one of the most popular services on the Web. The service user can search movies by title, tag, date, and so on. However, the user can hardly obtain information on a particular scene of a movie. Thus, it is very difficult to determine whether a movie contains interesting scenes or not. This research aims to provide information in order to help a user to choose a movie. Concretely, this paper proposes a method for labeling scenes in a movie using a video hosting service called "Nico Nico Douga". The proposed method extracts important scenes in a movie from "Nico Nico Douga" based on the statistics of social annotations attached to them. Also, using the characteristics of folksonomy the authors extract feature words for labeling. Moreover, in order to take advantage of the feature words, the authors estimate their semantic categories. We use the attached comments themselves to label the important scenes. In order to select the comments, the authors take into account the importance of the feature words with semantic categories in a scene. Finally, the authors carry out experiments to evaluate the proposed method and to discuss future works.
Year
DOI
Venue
2012
10.1109/WI-IAT.2012.178
Web Intelligence
Keywords
Field
DocType
feature word,important scene,particular scene,nico nico douga,popular service,interesting scene,semantic category,video hosting service,social annotation,service user,attached comment,web mining
Data mining,World Wide Web,Annotation,Web mining,Information retrieval,Computer science,Folksonomy
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
5
Name
Order
Citations
PageRank
Katsunori Ishino100.34
ryohei orihara28615.77
Hiroyuki Nakagawa35015.49
Yasuyuki Tahara416349.16
Akihiko Ohsuga528373.35