Author(s)

Shaimaa Toriah Mohamed Toriah^1*, Atef Zaki Ghalwash², Aliaa A. A. Youssif²

¹Department of Computer Science, Faculty of Computers and Informatics, Benha University, Benha, Egypt.
²Computer Science Department, Faculty of Computers and Information, Helwan University, Helwan, Egypt.

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.

Semantic Video Retrieval, Concept Detectors, Context Based Concept Fusion, Semantic Gap

Toriah, S. , Ghalwash, A. and Youssif, A. (2018) Semantic-Based Video Retrieval Survey. Journal of Computer and Communications, 6, 28-44. doi: 10.4236/jcc.2018.68003.