The New Modeling for Semantic Representation of Moving Objects in Video

There are many researches about video retrieval using spatio-temporal relations. Most of them studied simple trajectory or content-based retrieval but without semantic motion. Therefore, in this paper, we propose a new modeling for semantic representation of moving object using new topological relations, directional relations. Especially, we described directional relations based on TSR for measuring and storing similarity of object´s direction. Also, we built hierarchical structure by combining motions with motion verbs to describe semantic relations of moving objects. In the future work, we´ll build knowledge base such as motion ontology and apply it for automatic summarization or annotation system.