Trajectory Annotation and Retrieval Based on Semantics

Authors:
Miyoung Cho;Chang Choi;Junho Choi;Hongryoul Yi;Pankoo Kim
Affiliations:
Dept. of Computer Science and Engineering, Chosun University, Korea 501-759;Dept. of Computer Science and Engineering, Chosun University, Korea 501-759;Culture Technology Institute, Chosun University, Korea;Dept. of Computer Science and Engineering, Chosun University, Korea 501-759;Dept. of CSE, Chosun University, Korea
Venue:
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Year:
2007

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Abstract

Recently, the rapid increase of the available amount of multimedia information has revealed an urgent need for developing intelligent methods for understanding and managing information. There are many features such as color, shape, texture and motion for semantic information in video data. Especially, the most important semantic information is based on a trajectory which is the significant factor for event representation of objects in video. In this paper, we focus on semantic representation using topological and directional relations between non-moving and moving objects. In the experiment part, we compared retrieval results using TSR(Tangent Space Representation) with those using rules represented by the proposed model. We extend queries and motion verbs in a specific domain (not general verbs) and apply the proposed method to an automatic annotation or narration system.