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.