Learning Logical Definitions from Relations
Machine Learning
Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content
Multimedia Tools and Applications
Evaluating the application of semantic inferencing rules to image annotation
Proceedings of the 3rd international conference on Knowledge capture
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Dynamic pictorial ontologies for video digital libraries annotation
Workshop on multimedia information retrieval on The many faces of multimedia semantics
Building a comprehensive ontology to refine video concept detection
Proceedings of the international workshop on Workshop on multimedia information retrieval
Proceedings of the 15th international conference on Multimedia
A Hybrid Approach to Improving Semantic Extraction of News Video
ICSC '07 Proceedings of the International Conference on Semantic Computing
Video Semantic Content Analysis based on Ontology
IMVIP '07 Proceedings of the International Machine Vision and Image Processing Conference
Ontology based complex object recognition
Image and Vision Computing
Towards a Media Interpretation Framework for the Semantic Web
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Improving the robustness of particle filter-based visual trackers using online parameter adaptation
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
COMM: designing a well-founded multimedia ontology for the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Semantic annotation of images and videos for multimedia analysis
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Multimedia event-based video indexing using time intervals
IEEE Transactions on Multimedia
Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations
IEEE Transactions on Multimedia
Adding Semantics to Detectors for Video Retrieval
IEEE Transactions on Multimedia
Association and Temporal Rule Mining for Post-Filtering of Semantic Concept Detection in Video
IEEE Transactions on Multimedia
Video Semantic Event/Concept Detection Using a Subspace-Based Multimedia Data Mining Framework
IEEE Transactions on Multimedia
A rule-based video annotation system
IEEE Transactions on Circuits and Systems for Video Technology
Knowledge-assisted semantic video object detection
IEEE Transactions on Circuits and Systems for Video Technology
Event detection and recognition for semantic annotation of video
Multimedia Tools and Applications
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Semantic video annotation using ontologies has received a large attention from the scientific community in the recent years. Ontologies are being regarded as an appropriate tool to bridge the semantic gap. In this paper we present an overview of the state-of-the-art of approaches and algorithms that exploit ontologies to perform semantic video annotation and present an approach to automatically learn rules describing high-level concepts. This approach exploits the domain knowledge embedded into an ontology to learn a set of rules for semantic video annotation. The proposed technique is an adaptation of the First Order Inductive Learner (FOIL) technique to the Semantic Web Rule Language (SWRL) standard: Experiments have been performed in two different video domains: i) the TRECVID 2005 broadcast news collection, to detect events related to airplanes, such as taxiing, flying, landing and taking off; ii) surveillance videos, to detect if a person enters or exits a specific area. The promising experimental performance demonstrates the effectiveness and flexibility of the proposed framework.