Title :
Efficient meta-information annotation and view-dependent representation system for 3D objects on the Web
Author :
Kawai, Yukiko ; Tazawa, Shogo ; Furukawa, Ryo ; Kawasaki, Hiroshi
Author_Institution :
Fac. of Comput. Sci., Kyoto Sangyo Univ., Kyoto
Abstract :
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 module 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.
Keywords :
Internet; content management; information filtering; solid modelling; 3D content; 3D information; 3D object pervasive; Web information; filtering meta-data; meta-information annotation; semi-automatic annotation module; view-dependent representation system; Collaborative work; History; Information filtering; Information filters; Information representation; Internet; Virtual environment; Virtual reality; Visualization; Web pages;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761467