Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (22): 190-197.DOI: 10.3778/j.issn.1002-8331.1606-0027
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XU Tongyang1,2, ZHANG Guobiao1
Online:
Published:
徐彤阳1,2,张国标1
Abstract: With the development of multimedia technology and computer network technology, all kinds of video data are continuously produced. Video retrieval, as a kind of effective means of video management, is paid more and more attention. This paper studies on video retrieval visualization analysis. The study reveals the power distribution and research focus and research front, provides a basis for the relevant study. In this paper, using the knowledge visualization software (CiteSpace), included in the web of science core collection of 4, 633 video retrieval research papers, knowledge mapping of related literature published time, research power distribution, knowledge base of the field, hot spots and research front are analyzed. The results show that the research of video retrieval is blocked and developed slowly in recent years. Research strength mainly concentrates in the United States and China. The research content mainly involves:video content analysis, the application of video retrieval and video retrieval system set up and optimization.
Key words: video retrieval, visual analysis, knowledge mapping, CiteSpace
摘要: 随着多媒体技术及计算机网络技术的发展,各种视频资料源源不断地产生,视频检索作为一种有效的视频管理手段,受到越来越多的关注。通过对视频检索研究进行可视化分析,揭示研究的力量分布以及研究热点和研究前沿,为相关研究提供依据。利用知识可视化软件(CiteSpace),对Web of Science核心合集中收录的4 633篇视频检索研究论文绘制知识图谱,分别对相关文献的发表时间、研究力量分布、该领域的知识基础、热点和研究前沿进行了分析。结果显示,近年来视频检索研究受阻发展缓慢,研究力量主要集中在美国和中国,研究内容主要涉及:视频内容分析、视频检索的应用研究和视频检索系统搭建和优化。
关键词: 视频检索, 可视化分析, 知识图谱, CiteSpace
XU Tongyang1,2, ZHANG Guobiao1. Video retrieval research visual analysis[J]. Computer Engineering and Applications, 2017, 53(22): 190-197.
徐彤阳1,2,张国标1. 视频检索研究可视化分析[J]. 计算机工程与应用, 2017, 53(22): 190-197.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1606-0027
http://cea.ceaj.org/EN/Y2017/V53/I22/190