- 著者
-
濱上 知樹
澤田 和人
- 出版者
- 一般社団法人 電気学会
- 雑誌
- 電気学会論文誌C(電子・情報・システム部門誌) (ISSN:03854221)
- 巻号頁・発行日
- vol.134, no.9, pp.1282-1286, 2014 (Released:2014-09-01)
- 参考文献数
- 13
Study of heritage database and historical archive become an active area in multidisciplinary fields. The huge and high dimensional content is a sort of big data consisting of various kinds of information elements, and has valuable knowledge and the wisdom of mankind. This study focuses on Kosode Byobu collection which is antique fine art in Edo era. By analyzing high-resolution digital images of them and extracting knowledge structure by machine learning, we apply it for intelligent display and research of the art. This article introduces the background of the project and shows fundamental approach for tackling to retrieving intelligent structure and developing effective display technique.