Semantic-Based Video Retrieval Survey

作     者：Shaimaa Toriah Mohamed Toriah Atef Zaki Ghalwash Aliaa A. A. Youssif 

作者机构：Department of Computer Science Faculty of Computers and Informatics Benha University Benha Egypt Computer Science Department Faculty of Computers and Information Helwan University Helwan Egypt 

出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)

年 卷 期：2018年第6卷第8期

页      面：28-44页

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Semantic Video Retrieval Concept Detectors Context Based Concept Fusion Semantic Gap 

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.