计算机科学 ›› 2009, Vol. 36 ›› Issue (7): 170-174.doi: 10.11896/j.issn.1002-137X.2009.07.040

• 人工智能 • 上一篇    下一篇

基于本体的视频语义内容分析

白亮,刘海涛,老松杨,卜江   

  1. (国防科学技术大学信息系统与管理学院 长沙410073)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受863项目(2006AA1Z316),国家自然科学基金(60572137)教育部博士点基金项目资助。

Video Semantic Content Analysis Based on Ontology

BAI Liang,LIU Hai-tao,LAO Song-yang,Bu Jiang   

  • Online:2018-11-16 Published:2018-11-16

摘要: 随着视频数据的大量涌现,迫切需要有效的方法在语义层理解和管理视频数据。新的多媒体标准,如MPEG-4, MPEG-7等,对操纵和传输视频对象及元数据提供了基本的功能框架。但重要的是,视频数据的语义层内容大部分超出了标准步及的范围。提出了一个基于本体的视频语义内容分析框架,采用领域本体定义目标领域中的高层语义概念及语义概念在上下文间的关系;为增强视频语义分析能力,将低层特征(如视觉和听觉)和视频内容分析算法集成进本体中;采用OWL(Web Ontology Language)作为本体建模语言;根据不同的感知内容和低层特征,定义描述逻辑(Description Logic,简称DL)描述不同的视频特征和处理算法如何应用于应用视频分析;采用时域描述逻辑(Temporal Description Logic,简称TDL)来描述语义事件,并且提出一个推理算法进行事件探测。提出的框架在足球视频领域进行了实验验证,得到了令人满意的实验结果。

关键词: 本体,语义内容分析,语义事件

Abstract: The rapid increase in the available amount of video data is creating a growing demand for efficient methods for understanding and managing it at the semantic level. New multimedia standards, such as MPEG-4 and MPEG-7,provide the basic functionalities in order to manipulate and transmit objects and metadata. But importantly, most of the content of video data at a semantic level is out of the scope of the standards. A video semantic content analysis framework based on ontology was presented. Domain ontology was used to define high level semantic concepts and their relations in the context of the examined domain. And low-level features(e. g. visual and aural) and video content analysis algorithms were integrated into the ontology to enrich video semantic analysis.OWL was used for the ontology description. Rules in Description Logic were defined to describe how features and algorithms for video analysis should be applied according to different perception content and low-level features. Temporal Description Logic was used to describe the semantic events, and a reasoning algorithm was proposed for events detection. The proposed framework was demonstrated in a soccer video domain and shows promising results.

Key words: Ontology, Semantic content analysis, Semantic event

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