Iconic indexing by 2-D strings
IEEE Transactions on Pattern Analysis and Machine Intelligence
A digital on-demand video service supporting content-based queries
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Rx for semantic video database retrieval
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
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
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Model-based 2D&3D dominant motion estimation for mosaicing and video representation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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
| Hi-index | 0.00 |
The trajectory of moving objects in video data plays an important role in video indexing for content-based retrieval. In this paper, we propose a new spatio-temporal representation scheme for modeling moving objects' trajectories in video data. In order to support content-based retrieval on video data very well, our representation scheme considers the moving distance of an object during a given time interval as well as its temporal and spatial relations. Based on our representation scheme, we present two similarity measures for both the trajectory of a single moving object and those of multiple moving objects, which provide ranking for the retrieved video results. Finally, we show from our experiment that our representation scheme achieves about 10-20% higher precision while it holds about the same recall, compared with its competitors, such as Li's and Shan's schemes.