| 引用本文: | 白亮,老松杨,刘海涛,等.基于OWL本体扩展的视频语义内容分析.[J].国防科技大学学报,2010,32(2):79-84.[点击复制] |
| BAI Liang,LAO Songyang,LIU Haitao,et al.Video Semantic Content Analysis Using Extensions to OWL[J].Journal of National University of Defense Technology,2010,32(2):79-84[点击复制] |
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| 基于OWL本体扩展的视频语义内容分析 |
| 白亮, 老松杨, 刘海涛, 卜江, 陈剑赟 |
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(国防科技大学 信息系统与管理学院，湖南 长沙 410073)
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| 摘要: |
| 随着可获得视频数据的快速增长，迫切需要有效的方法在语义层理解和管理视频数据。对OWL语言进行扩展，提出了V-OWL本体描述框架，支持视频内容蕴含的时空关系和不确定性关系的建模，使用基于贝叶斯网络的B-图描述模型，将V-OWL本体概念、关系映射为B-图中的节点、边，利用贝叶斯网络训练推理算法实现视频高层语义的自动推理发现。实验结果显示，V-OWL本体描述框架对复杂视频内容具有很好的描述能力，基于V-OWL的视频内容分析框架对视频高层语义探测具有较高的查准率和查全率。 |
| 关键词: OWL本体扩展 视频语义内容分析 贝叶斯网络 |
| DOI： |
| 投稿日期：2009-08-29 |
| 基金项目:国家自然科学基金资助项目(60902094) |
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| Video Semantic Content Analysis Using Extensions to OWL |
| BAI Liang, LAO Songyang, LIU Haitao, BU Jiang, CHEN Jianyun |
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(College of Information System and Management, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| Due to the rapid increase in the amount of available video data, there has been a growing demand for efficient methods to understand and manage the data at the semantic level. In this paper, the V-OWL is proposed with extensions to OWL, which can describe complex video content including temporal-spatial and uncertain relationships. The B-Graph description model based on Bayesian Net is proposed to map the concepts and relationships in V-OWL ontology into the nodes and edges in B-Graph. Video semantic content can be discovered automatically by using existing training and reasoning methods of Bayesian Net. Results from experiments show that V-OWL has achieved good description of complex video content, and satisfactory precision and recall of high level semantic content detections. |
| Keywords: extensions to OWL video semantic content analysis Bayesian net |
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