カワイ ユキコ   KAWAI YUKIKO
  河合 由起子
   所属   京都産業大学  情報理工学部 情報理工学科
   職種   教授
言語種別 英語
発行・発表の年月 2008
形態種別 研究論文(国際会議プロシーディングス)
査読 査読あり
標題 Efficient Meta-information Annotation and View-dependent Representation System for 3D Objects on the Web
執筆形態 その他
掲載誌名 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6
出版社・発行元 IEEE
巻・号・頁 pp.888-+
著者・共著者 Yukiko Kawai,Shogo Tazawa,Ryo Furukawa,Hiroshi Kawasaki
概要 So far, there have been many techniques and applications developed for handling 3D contents efficiently on the Web. However, there is currently no application that successfully makes 3D contents pervasive on the Web. One of the main reasons for this can be considered be the fact that there are only a few pages on the Web where a 3D object is sufficiently annotated with meta-information; meta-information is fundamental for the Web. In this paper (1) a semi-automatic annotation module which supports users in creating 3D contents with rich meta-information by collecting and filtering meta-data on the Web using 3D information; and (2) a view-dependent information representation nodule which shows information corresponding to the viewing direction of 3D objects are presented. In those modules, view-dependent information representation module is most important in our system, because such system is highly suitable to show meta-information to users, however; not proposed yet. We implemented the proposed system and conducted experiments which show that it is possible to realize semi-automatic annotation of meta-data on 3D objects and efficiently present view-dependent meta-information to users.
DOI 10.1109/ICPR.2008.4761467
ISSN 1051-4651
DBLP ID conf/icpr/KawaiTFK08
PermalinkURL http://dblp.uni-trier.de/db/conf/icpr/icpr2008.html#conf/icpr/KawaiTFK08