A New Video Semantic Model Based on 3D C-String Knowledge Representation

Modeling object´s semantic knowledge has attracted increasing attention in the area of video content management. In this paper, we propose a video semantic model to get the higher-level semantics of spatial relation changes between the objects in a video represented by a 3D C-string, which represents the lower-level information of spatio-temporal relations, motions and size changes of the objects in a video. We use the concept of finite automata to record the transitions of objects´ spatial relations. From the final states of the finite automaton, the higher-level semantics of spatial relation changes between the objects in a video can be inferred.