Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
Semantic video indexing: approach and issues
ACM SIGMOD Record
Rule-based video classification system for basketball video indexing
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Multimedia Databases: An Object Relational Approach
Multimedia Databases: An Object Relational Approach
Design, implementation and testing of an interactive video retrieval system
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Context-based video retrieval system for the life-log applications
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
A critical evaluation of location based services and their potential
Journal of Location Based Services
Interoperable augmented web browsing for exploring virtual media in real space
Proceedings of the 2nd International Workshop on Location and the Web
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This paper presents a novel indexing method for digital video contents. The method automatically identifies city buildings captured by digital video camera. This is done by extracting the objects from candidate objects using GPS location-and-time data of the video shooter, video camera posture data taken by a Gyro attached to the camera, and a 3-dimensional city map stored in a database. The automatic calculation identifies the start and end video frames for each building object captured in a video unit. An index is created to refer to the set of all video units in which a specified building is really captured. A concrete experiment implementing the proposed algorithm in Ginza Area, Tokyo demonstrated that the algorithm works as designed.