A Framework for Temporal Content Modeling of Video Data Using an Ontological Infrastructure

Semantic video retrieval has emerged in the last decade as one of the most important features of pervasive multimedia systems. In this paper, a novel framework for temporal semantic video modeling based on ontologies is introduced. This proposed framework produces an ontological infrastructure named temporal ontology for semantic representation of video data independent of domain. This ontology later can be used to answer temporal queries.

[1]  James Pustejovsky,et al.  Introduction to the special issue on temporal information processing , 2004, TALIP.

[2]  Jerry R. Hobbs,et al.  Time in OWL-S , 2004 .

[3]  Walid G. Aref,et al.  Smart VideoText: a video data model based on conceptual graphs , 2002, Multimedia Systems.

[4]  Jerry R. Hobbs,et al.  An ontology of time for the semantic web , 2004, TALIP.

[5]  Chung-Lin Huang,et al.  MSN: statistical understanding of broadcasted baseball video using multi-level semantic network , 2005, IEEE Transactions on Broadcasting.

[6]  Claudio Gutiérrez,et al.  Temporal RDF , 2005, ESWC.

[7]  Ahmed K. Elmagarmid,et al.  Integrated Video and Text for Content-based Access to Video Databases , 2004, Multimedia Tools and Applications.

[8]  Kevin Knight,et al.  Toward Distributed Use of Large-Scale Ontologies t , 1997 .

[9]  Janko Calic,et al.  A rule-based video annotation system , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  Ahmed K. Elmagarmid,et al.  VideoText database systems , 1997, Proceedings of IEEE International Conference on Multimedia Computing and Systems.

[11]  Chung-Lin Huang,et al.  A semantic network modeling for understanding baseball video , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[12]  Harry Chen,et al.  SOUPA: standard ontology for ubiquitous and pervasive applications , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[13]  Lluís Vila,et al.  A Survey on Temporal Reasoning in Artificial Intelligence , 1994, AI Communications.

[14]  Fabio A. Schreiber,et al.  Is Time a Real Time? An Overview of Time Ontology in Informatics , 1992, NATO ASI RTC.

[15]  James F. Allen Towards a General Theory of Action and Time , 1984, Artif. Intell..

[16]  Balakrishnan Chandrasekaran,et al.  What are ontologies, and why do we need them? , 1999, IEEE Intell. Syst..

[17]  Michael G. Strintzis,et al.  An Ontology Framework For Knowledge-Assisted Semantic Video Analysis and Annotation , 2004, SemAnnot@ISWC.

[18]  新田 直子 Semantic Content Analysis of Broadcasted Sports Videos with Intermodal Collaboration , 2003 .

[19]  Latifur Khan,et al.  Automatic Ontology Derivation Using Clustering for Image Classification , 2002, Multimedia Information Systems.