文章基本信息

标题：A Novel Semantic Annotation Algorithm for Models Based on Associated Scene
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作者：Liu, Jun ; Liu, Yan ; Sun, Yu 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2014
卷号：9
期号：7
页码：1665-1670
DOI：10.4304/jcp.9.7.1665-1670
语种：English
出版社：Academy Publisher
摘要：An automatic 3D semantic annotation algorithm is proposed based on the associated scene between models. This algorithm uses the semantic context of 3D models to annotate the non-annotated nodes in terms of the annotated nodes. Firstly, this algorithm abstracts the extensible 3D (X3D) scene into the X3D conventional scene tree, transforming the conventional scene tree into an in-line node scene tree. Additionally, the algorithm uses the X3D ontology for semantic reasoning between the scene and the models. Lastly, the algorithm annotates the model files automatically. This study analyses the time and space complexity of the algorithm. Experimental results confirm that this algorithm improves not only the annotation validity but also the retrieval performance.
关键词：scene;semantic annotation;X3D model;ontology