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NSFC计算机图像与视频处理领域项目关键词分析
引用本文:侯素娟,赵瑞珍,宋苏.NSFC计算机图像与视频处理领域项目关键词分析[J].软件学报,2019,30(9):2918-2924.
作者姓名:侯素娟  赵瑞珍  宋苏
作者单位:山东师范大学 信息科学与工程学院, 山东 济南 250014,国家自然科学基金委员会 信息科学部, 北京 100085,国家自然科学基金委员会 信息科学部, 北京 100085
摘    要:关键词能够反映出一份项目申请书的主要研究内容.统计了国家自然科学基金计算机图像与视频处理领域2014年~2018年申请与资助项目关键词,并分别从关键词标引量、关键词词频等方面进行分析,探讨其与资助率的关系.最后,运用定量的方法,透过热频关键词的内容变化,分析近5年来的计算机图像与视频处理领域的研究热点变化.

关 键 词:国家自然科学基金  计算机图像与视频处理  F020502  关键词  资助率
收稿时间:2019/2/22 0:00:00
修稿时间:2019/3/25 0:00:00

Keywords Statistics and Analysis of Applications and Grants in the Field of Computer Image and Video Processing of the National Natural Science Foundation of China
HOU Su-Juan,ZHAO Rui-Zhen and SONG Su.Keywords Statistics and Analysis of Applications and Grants in the Field of Computer Image and Video Processing of the National Natural Science Foundation of China[J].Journal of Software,2019,30(9):2918-2924.
Authors:HOU Su-Juan  ZHAO Rui-Zhen and SONG Su
Affiliation:School of Information Science and Engineering, Shandong Normal University, Ji''nan 250014, China,Department of Information Sciences, National Natural Science Foundation of China, Beijing 100085, China and Department of Information Sciences, National Natural Science Foundation of China, Beijing 100085, China
Abstract:Keywords can reflect the main research content of a project application. In this study, the keywords of applications and grants of the National Natural Science Foundation of China in the field of computer image and video processing during 2014-2018 are firstly counted, and then they are analyzed from various perspectives, such as keyword quantity, keyword frequency, and the relationship between them and subsidizing rate. Lastly, the change of research hotspots in the field of computer image and video processing is also discussed based on the frequency of the keywords by using quantitative method.
Keywords:National Natural Science Foundation of China  computer image and video processing  F020502  keyword  subsidizing rate
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