首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:Semantic-Based Video Retrieval Survey
  • 本地全文:下载
  • 作者:Shaimaa Toriah Mohamed Toriah ; Atef Zaki Ghalwash ; Aliaa A. A. Youssif
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2018
  • 卷号:06
  • 期号:08
  • 页码:28-44
  • DOI:10.4236/jcc.2018.68003
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:There is a tremendous growth of digital data due to the stunning progress of digital devices which facilitates capturing them. Digital data include image, text, and video. Video represents a rich source of information. Thus, there is an urgent need to retrieve, organize, and automate videos. Video retrieval is a vital process in multimedia applications such as video search engines, digital museums, and video-on-demand broadcasting. In this paper, the different approaches of video retrieval are outlined and briefly categorized. Moreover, the different methods that bridge the semantic gap in video retrieval are discussed in more details.
  • 关键词:Semantic Video Retrieval;Concept Detectors;Context Based Concept Fusion;Semantic Gap
国家哲学社会科学文献中心版权所有