Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Algorithm for automatically producing layered sprites by detecting camera movement
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Video Indexing Using MPEG Motion Compensation Vectors
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
A Probabilistic Model for Camera Zoom Detection
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Camera motion estimation by image feature analysis
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
A unified approach to shot change detection and camera motion characterization
IEEE Transactions on Circuits and Systems for Video Technology
Collusion, MPEG4 compression and frame dropping resistant video watermarking
Multimedia Tools and Applications
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In this paper, we propose a new approach to determine speed of camera motion in video sequences. The technique is based on the analysis of motion trajectories of image feature. The corners and interesting points of image are first detected and then tracked along an image sequence. The spatio-temporal information of image feature is a key significance in determining camera motion and speed value. We conducted the experiments to investigate the sense of speed in camera motion. The experimental results classify magnitude of speed into three levels of motion (i.e., slow, medium, and fast). The sense of speed in camera motion helps infer higher-level semantic content and query information in video retrieval and hence facilitates efficient searching of video sequence into its temporal domain.