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文章基本信息

  • 标题:EFFECTIVE EXTRACTION OF SEMANTIC CONTENT IN VIDEOS USING META-ONTOLOGY
  • 本地全文:下载
  • 作者:K.PRIYA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:73
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The growth of using videos in different areas like surveillance cameras, Intruder detection, sports, news, etc., increases the research on utilizing these videos. Unauthorized persons, thefts and malpractices are detected by these videos. Large volumes of recorded data through these cameras are stored but not utilized or processed. Tracking of an objects and extraction of features from videos are done through several methods. The events and objects can difficult to detect in populated area. Semantic Content Extraction (SCE) was proposed to extracting objects and events along with their relations using ontology. Ontology construction for these videos gives spatial, temporal and topological relations between different video frames. This results the events or actions performed in the video which intends to give semantic content from the video.
  • 关键词:Semantic content; Ontology; Spatial Relations; Temporal Relations; Topological Relations; Event Extraction
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