A spatial match representation scheme for indexing and querying in iconic image databases
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
IEEE Transactions on Knowledge and Data Engineering
Spatial-Match Iconic Image Retrieval with Ranking in Multimedia Databases
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Modeling of Moving Objects in a Video Database
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Trajectory Annotation and Retrieval Based on Semantics
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Similarity retrieval of videos by using 3D C-string knowledge representation
Journal of Visual Communication and Image Representation
Adaptive-Tangent space representation for image retrieval based on kansei
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Object retrieval by query with sensibility based on the KANSEI-Vocabulary scale
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
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During the last decade, the emerging technology for video retrieval is mainly based on the content. However, semantic-based video retrieval has become more and more necessary for the humans especially the naive users who can only use the human language during retrieval. In this paper, we focus on semantic representation using topological and directional relations between non-moving and moving objects for security using CCTV(closed-circuit Television). In this paper, we propose new spatio-temporal relation to extend previous work using topological and directional relations and investigate spatiotemporal predicates which propose our models. In the experiment part, we compared retrieval results using TSR(Tangent Space Representation) with those using rules represented by the proposed model.