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  • 标题:An Approach for Analyzing keyframes based on Self Adaptive Threshold and Scene Descriptors
  • 本地全文:下载
  • 作者:Suruthi.K ; Babu Kannan.K ; Kumaresan.A
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2015
  • 卷号:4
  • 期号:5
  • 页码:2249-2254
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:In this paper, we propose a CBVR (content based video retrieval) method for retrieving a desired object from the abstract video dataset. Recording and storing enormous surveillance video in a dataset for retrieving the main contents of the video is one of the complicated task in terms of time and space. Even though, methods are available for retrieving the main content of a video based on ROI as well as threshold values for retrieving background information key frames, determining the threshold values manually is a complex scenario. So, we propose a method, where we use self-adaptive threshold for determining the background information along with the use of several descriptors to increase the efficiency of determining the contents of the key frames. We can also use CBVR to retrieve the information of a desired object from our abstract dataset.
  • 关键词:Self-adaptive threshold; Keyframes; Descriptors; CBVR
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