基于知识图谱的我国图像检索研究进展可视化分析

Visual Analysis of Image Retrieval Research Progress in China Based on Mapping Knowledge Domain

图像检索研究领域技术和热点随着数字图像技术迅速发展不断发生变化.以CNKI期刊全文数据库为数据源,采用文献计量学方法,利用网络分析工具Citespace软件对2008—2017年国内图像检索研究进行知识图谱可视化分析,揭示我国图像检索研究现状和未来发展趋势.研究结果表明,图像检索算法、图像特征提取和图像语义研究成为重要的热点主题,相关反馈研究、多特征融合检索、深度学习算法以及图像自动标注技术成为重要的研究前沿.

With the rapid development of digital image technology,the technology and hot spots in the field of image retrieval research develop rapidly.Taking articles about domestic network management of image retrieval from CNKI database in 2008-2017,bibliometric analysis and CiteSpace are used to draw scientific knowledge maps and 2008-2017 domestic hot research topic and important cutting edge trends of image retrieval research.Results show that image retrieval algorithm,image feature extraction and image semantic research is the most important hot topics.