关联图像检索的实现:增强偶然性的图像检索平台的开发

M. Haseyama
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引用次数: 4

摘要

本文提出了一种新的图像检索方案“关联图像搜索”及其具体的工程应用,实现了大数据的价值创造。关联图像搜索的主要目的是实现信息检索,通过为用户提供新的感知来增强偶然性的潜力。因此,本文提出了实现联想图像检索的研究细节。此外,本文还介绍了仿生图像检索平台的应用实例。通过将生物学和材料科学领域积累的数据进行关联和协作,Biomimetics图像检索平台可以加速他们在不同研究领域的知识共享。从该平台实际获得的检索结果中,讨论了诸如新知识出现等偶然性的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Realization of Associative Image Search: Development of Image Retrieval Platform for Enhancing Serendipity
This paper presents "Associative Image Search", a new image retrieval scheme and its specific engineering application, which enable value creation from big data. The main aim of the associative image search is the realization of information retrieval that enhances the potential for serendipities by providing users with new awareness. Thus, this paper presents the details of research for realizing associative image retrieval. Furthermore, as an example of its applications, a Biomimetics image retrieval platform is also introduced in this paper. By associatively and collaboratively using data accumulated in the fields of biology and material science, the Biomimetics image retrieval platform enables acceleration of their knowledge sharing in different research fields. From retrieval results actually obtained from this platform, there is discussion of the potential of serendipities such as new knowledge emergence.
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