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Cross-collection Linking of Botanical Imagery in Ghent Altarpiece to Learn More about Van Eyck’s Masterpiece and to Explore a Region’s Plant Richness and Diversity over Time

Published: 01 July 2021 Publication History
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  • Abstract

    As people on average only spent 20 seconds(s) observing an artwork, they mostly miss a lot of informative details that are contained within it. As an example, the 75 different plants that can be found in the Ghent Altarpiece is something not a lot of people are aware of. Within this article, we present a methodology, based on cross-collection linking, to create awareness about the botanical imagery in Van Eyck’s masterpiece and to inform people about their region’s plant richness and diversity over time. As such, this article is a nice example of how the interdisciplinary fields of cultural heritage and botany can go hand in hand to facilitate its dissemination to the general public. The plants in the painting can be queried by their name or by a picture taken with a mobile device—a plant recognition app is used to evaluate the pictures taken from the plants. A study has also been performed to evaluate these apps and to select the most appropriate one for the collection of plants in the Ghent Alterpiece. Currently, we link the detected plants to herbaria, observation data, Global Biodiversity Information Facility plantinfo, and recent wikimedia commons pictures, but other links can also be easily integrated with the platform. Finally, we also studied nowadays plant observations (volunteered geographic information) in more detail and reveal which region currently has most of Van Eyck’s plants/flowers.

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    Published In

    cover image Journal on Computing and Cultural Heritage
    Journal on Computing and Cultural Heritage   Volume 14, Issue 3
    July 2021
    315 pages
    ISSN:1556-4673
    EISSN:1556-4711
    DOI:10.1145/3473560
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 July 2021
    Accepted: 01 March 2021
    Revised: 01 January 2021
    Received: 01 May 2020
    Published in JOCCH Volume 14, Issue 3

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    Author Tags

    1. Plant identification
    2. cross collection linking
    3. geographing
    4. visual graphics interface (VGI)

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