Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
OVID: Design and Implementation of a Video-Object Database System
IEEE Transactions on Knowledge and Data Engineering
Recognition of Urban Scene Using Silhouette of Buildings and City Map Database
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
Design of Multimedia Database and a Query Language for Video Image Data
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Spatial navigation of media streams
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Template-based generation of road networks for virtual city modeling
VRST '02 Proceedings of the ACM symposium on Virtual reality software and technology
An Automated Method for Large-Scale, Ground-Based City Model Acquisition
International Journal of Computer Vision
FTW: fast similarity search under the time warping distance
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Identifying Similar Subsequences in Data Streams
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Pattern discovery in data streams under the time warping distance
The VLDB Journal — The International Journal on Very Large Data Bases
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Mixed reality (MR) systems which integrate the virtual world and the real world have become a major topic in the research area of multimedia. As a practical application of these MR systems, we propose an efficient method for making a 3D map from real-world video data. The proposed method is an automatic organization method focusing on video objects to describe video data in an efficient way, i.e., by collating the real-world video data with map information using DP matching. To demonstrate the reliability of this method, we describe successful experiments that we performed using 3D information obtained from the real-world video data.