VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
A spatial match representation scheme for indexing and querying in iconic image databases
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Maintaining knowledge about temporal intervals
Communications of the ACM
V-QBE: video database retrieval by means of example motion of objects
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Similarity in (spatial, temporal and) spatio-temporal datasets
Proceedings of the 15th International Conference on Extending Database Technology
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The general aim of this paper is to study the spatio-temporal modeling techniques which can efficiently represent multiple moving objects’ in video databases. The traditional schemes only consider direction property, time interval property, and spatial relationship property for modeling moving objects’ trajectories. But, our scheme also takes into account on distance property, conceptual location information, and related object information so that we may improve a retrieval accuracy to measure a similarity between two moving objects as well as them. As its application, we implement the Content- and Semantic-based Soccer Video Retrieval (CS2VR) system by using MS Visual C++ and DirectX for indexing and searching on soccer video data. The CS2VR helps users to easily extract the trajectory information of soccer ball form soccer video data semi-automatically as well as to conveniently retrieve the results acquired by sketching query trajectory with mouse button.