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Video semantic content analysis framework based on ontology combined MPEG-7

Bai, Liang and Lao, Songyang and Zhang, Weiming and Jones, Gareth J.F. and Smeaton, Alan F. (2007) Video semantic content analysis framework based on ontology combined MPEG-7. In: AMR 2007 - Adaptive Multimedial Retrieval:Retrieval, User, and Semantics, 5-6 Jul 2007, Paris, France.

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The rapid increase in the available amount of video data is creating a growing demand for efficient methods for understanding and managing it at the semantic level. New multimedia standard, MPEG-7, provides the rich functionalities to enable the generation of audiovisual descriptions and is expressed solely in XML Schema which provides little support for expressing semantic knowledge. In this paper, a video semantic content analysis framework based on ontology combined MPEG-7 is presented. Domain ontology is used to define high level semantic concepts and their relations in the context of the examined domain. MPEG-7 metadata terms of audiovisual descriptions and video content analysis algorithms are expressed in this ontology to enrich video semantic analysis. OWL is used for the ontology description. Rules in Description Logic are defined to describe how low-level features and algorithms for video analysis should be applied according to different perception content. Temporal Description Logic is used to describe the semantic events, and a reasoning algorithm is proposed for events detection. The proposed framework is demonstrated in sports video domain and shows promising results.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Video Semantic Content; MPEG-7; Ontology; OWL; Description Logic; Temporal Description Logic
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Published in:Adaptive Multimedial Retrieval: Retrieval, User, and Semantics. Lecture Notes in Computer Science 4918. Springer-Verlag.
Official URL:
Copyright Information:© 2007 Springer-Verlag. The original publication is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16506
Deposited On:18 Aug 2011 15:07 by Shane Harper. Last Modified 18 Aug 2011 15:07

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