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  • 标题:Survey of Content Based Lecture Video Retrieval
  • 本地全文:下载
  • 作者:Dipali Patil ; Mrs. M. A. Potey
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2015
  • 卷号:19
  • 期号:1
  • 页码:5-8
  • DOI:10.14445/22312803/IJCTT-V19P102
  • 出版社:Seventh Sense Research Group
  • 摘要:In the last few years, electuring has become more and more popular because video provide rich source of information. The amount of lecture video data on the internet is growing exponentially. Thus, a more efficient method for video retrieval in internet or within large lecture video archives is urgently needed. This paper presents a text based video retrieval and Video search system using Optimal Character Recognition (OCR). First, we convert the video into keyframes and extract the Text using OCR. Following step is to produce a summary presenting key points of the video, by making use of meradata of text and audio extracted from the Video. This summary will then be used for grouping and Indexing of videos. In this paper, we discuss various lecture video segmentation approaches. As there is strong needs for segmenting lecture videos into topic units in order to organize the videos for browsing and to provide search capability.
  • 关键词:Content based Video Retrieval; Lecture Video Segmentation and Optical Character Recognition (OCR)
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