Discovering intellectual structure from digital archives: Intelligent aided system for arts and history studies

Tomoki Hamagami, Kazuto Sawada

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)1282-1286
    Number of pages5
    JournalIEEJ Transactions on Electronics, Information and Systems
    Volume134
    Issue number9
    DOIs
    StatePublished - 2014 Jan 1

    Fingerprint

    Display devices
    Intelligent structures
    Learning systems
    Big data

    Keywords

    • Digital archives
    • Image processing
    • Intelligent processing
    • Machine learning

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

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