Visual Event Detection Using Multi-Dimensional Concept Dynamics
A novel framework is introduced for visual event detection. Visual events are viewed as stochastic temporal processes in the semantic concept space. In this concept-centered approach to visual event modeling, the dynamic pattern of an event is modeled through the collective evolution patterns of the individual semantic concepts in the course of the visual event. Video clips containing different events are classified by employing information about how well their dynamics in the direction of each...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings IEEE International Conference on Multimedia and Expo (ICME 2006)|
|01_Ebadollahi_Visual_Event_Detection_Using_2006.pdf||177.17 kB||Adobe PDF||Request a copy|
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