文章基本信息

标题：A Survey on: Content Based Video Classification
本地全文：下载
作者：Hansa Shimpi ; Sudeep Thepade
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：11
页码：16445
DOI：10.15680/IJIRCCE.2017.0511013
出版社：S&S Publications
摘要：As we know that the today’s world is the Internet world, the amount of the generation of multimedia datais very vast. The sheer size of video data makes it impossible for the human to classify it manually into different classesso the user gets appropriate result. With such large growth of video data, Content-based video classification comes intothe picture. Content based video classification and retrieval have attracted more and more focused in last decade.Although successful results were acquired in recent year, automaticanalysing the semantic content of the video is stillvery challenging at the current state-of-the-art. In order to map the low-level feature to high-level semantic content,many efforts are lead to the semantic indexing and modeling of video content through semi-automatic approach. In thispaper, some recent advances in content-based video classification and retrieval are reviewed
关键词：KeyFrame; Feature Extraction; Video Classification.