基于知识注释的MOOC视频快速检索系统研究  被引量:2

A research on fast retrieval system of MOOC videos based on knowledge annotation

在线阅读下载全文

作  者:许邓艳 卢民荣[2] 王莹 XU Dengyan;LU Minrong;WANG Ying(College of Applied Technology,Fujian University of Technology,Fuzhou 350118,China;Fujian Province Philosophy Social Science Research Base,Finance and Accounting Research Centre,Department of Accountancy,Fujian Jiangxia University,Fuzhou 350108,China)

机构地区:[1]福建工程学院应用技术学院,福建福州350118 [2]福建江夏学院会计学院福建省社科研究基地财务与会计研究中心,福建福州350108

出  处:《实验技术与管理》2020年第10期201-206,共6页Experimental Technology and Management

摘  要:针对MOOC教学视频内容检索不便和教学知识点与视频帧无法关联的问题,基于知识注释的MOOC视频快速检索系统探究了视频快速分割方法,该方法主要利用MOOC教学视频特殊性和图像哈希函数比较图像相似度判定视频分割边界,从而对视频进行快速分割,分割后结合视频注释辅助系统,将视频内容、知识结构、课件信息等教学资源进行关联注释,方便用户进行MOOC教学视频的检索。通过大学英语的教学MOOC视频和微课视频的分割、检索实验测试,表明了视频分割、检索的方法有效,有助于教学设计者视频注释和用户检索,因此,视频注释辅助系统在各大MOOC教学平台具有一定的应用价值。In view of retrieval inconvenience of MOOC teaching video content and insufficient correlation between teaching knowledge points and video frames,the fast retrieval system of MOOC videos based on knowledge annotation explores the method of fast video segmentation.This method mainly uses the characteristics of MOOC teaching videos and image hash function to compare image similarity to determine the video segmentation boundary,so as to segment the video quickly.After segmentation,video annotation is used to assist the system,teaching resources such as video content,knowledge structure and courseware information are annotated to facilitate the retrieval of MOOC teaching videos.Through the segmentation and retrieval experiment of a MOOC video and micro class video on college English teaching,it shows that the method of video segmentation and retrieval is effective,which is helpful for teaching designers to annotate videos and also helpful for users to retrieve.Therefore,the assistant system of video annotation has a certain application value for MOOC teaching platforms.

关 键 词:视频分割 图像相似度 视频内容检索 视频注释 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象