TY - GEN
T1 - Integration of domain-specific and domain-independent ontologies for colonoscopy video database annotation
AU - Bao, Jie
AU - Cao, Yu
AU - Tavanapong, Wallapak
AU - Honavar, Vasant
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - Flexible and effective indexing of video data so as to render it useful in automated inference and data-driven knowledge acquisition is a key problem in knowledge engineering. In this paper, we present an approach to annotation of a video database using a domain specific ontology, a domain independent video ontology that encodes the structure and attributes of video data. The two ontologies are integrated using domain-specific semantic linkage. The result, an integrated ontology for video annotation (IOVA) is represented in OWL, a description logic based ontology language. We describe a user-friendly platform for video database annotation (VIDAI) using IOVA. We demonstrate the use of IOVA and VIDAI in annotating a database of colonoscopy videos. Video entities are annotated with a combination of domain-independent features and the domain-specific entities. Annotation of video data using IOVA constitutes an important first step towards flexible and fully automated indexing, retrieval, inference, and data-driven knowledge discovery using video data in a broad range of applications including colonoscopy video analysis.
AB - Flexible and effective indexing of video data so as to render it useful in automated inference and data-driven knowledge acquisition is a key problem in knowledge engineering. In this paper, we present an approach to annotation of a video database using a domain specific ontology, a domain independent video ontology that encodes the structure and attributes of video data. The two ontologies are integrated using domain-specific semantic linkage. The result, an integrated ontology for video annotation (IOVA) is represented in OWL, a description logic based ontology language. We describe a user-friendly platform for video database annotation (VIDAI) using IOVA. We demonstrate the use of IOVA and VIDAI in annotating a database of colonoscopy videos. Video entities are annotated with a combination of domain-independent features and the domain-specific entities. Annotation of video data using IOVA constitutes an important first step towards flexible and fully automated indexing, retrieval, inference, and data-driven knowledge discovery using video data in a broad range of applications including colonoscopy video analysis.
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M3 - Conference contribution
AN - SCOPUS:12344331822
SN - 1932415270
SN - 9781932415278
T3 - Proceedings of the International Conference on Information and Knowledge Engineering , IKE'04
SP - 82
EP - 88
BT - Proceedings of the International Conference on Information and Knowledge Engineering, IKE'04
A2 - Arabnia, H.R.
T2 - Proceedings of the International Conference on Information and Knowledge Engineering, IKE'04
Y2 - 21 June 2004 through 24 June 2004
ER -