Efficient meta-information annotation and view-dependent representation system for 3D Objects on the Web

Yukiko Kawai, Shogo Tazawa, Ryo Furukawa, Hiroshi Kawasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 ofthe 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; metainformation 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 ofmeta-data on 3D objects and efficiently present view-dependent meta-information to users.

Original languageEnglish
Title of host publication2008 19th International Conference on Pattern Recognition, ICPR 2008
Publication statusPublished - Dec 1 2008
Externally publishedYes
Event2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States
Duration: Dec 8 2008Dec 11 2008

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other2008 19th International Conference on Pattern Recognition, ICPR 2008
Country/TerritoryUnited States
CityTampa, FL
Period12/8/0812/11/08

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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