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Semantic-Based Video Retrieval Survey

Shaimaa Toriah*, Atef Ghalwash, Aliaa Youssif

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. So, 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, video-on-demand broadcasting. In this paper, the different approaches of video retrieval are clearly and briefly categorized. Moreover, the different methods which try to bridge the semantic gap in video retrieval are discussed in more details.