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High-level concept annotation using ontology and probabilistic inference

Liu, Yuee, Zhang, Jinglan, Li, Zhengrong, & Tjondronegoro, Dian W. (2009) High-level concept annotation using ontology and probabilistic inference. In Proceedings of The First International Conference on Internet Multimedia Computing and Service, Yunnan University, Kunming.

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Abstract

Image annotation is a significant step towards semantic based image retrieval. Ontology is a popular approach for semantic representation and has been intensively studied for multimedia analysis. However, relations among concepts are seldom used to extract higher-level semantics. Moreover, the ontology inference is often crisp. This paper aims to enable sophisticated semantic querying of images, and thus contributes to 1) an ontology framework to contain both visual and contextual knowledge, and 2) a probabilistic inference approach to reason the high-level concepts based on different sources of information. The experiment on a natural scene database from LabelMe database shows encouraging results.

Impact and interest:

1 citations in Scopus
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ID Code: 27941
Item Type: Conference Paper
Keywords: Image Annotation, Ontology, Probabilistic Graphical Model
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Deposited On: 14 Oct 2009 12:58
Last Modified: 01 Mar 2012 00:09

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