• Fleshing Out the Bones: Studying the Human Remains Trade with Tensorflow and Inception

    Author(s):
    Shawn Graham (see profile) , Damien Huffer
    Date:
    2018
    Group(s):
    Archaeology
    Subject(s):
    Archaeology, Human body, Computer vision, Commerce
    Item Type:
    Article
    Tag(s):
    bone, Trade
    Permanent URL:
    http://dx.doi.org/10.17613/M66688J0K
    Abstract:
    There is an active trade in human remains facilitated by social media sites. In this paper we ask: can machine learning detect visual signals in photographs indicating that the human remains depicted are for sale? Do such signals even exist? This paper describes an experiment in using Tensorflow and the Google Inception-v3 model against a corpus of publicly available photographs collected from Instagram. Previous examination of the associated metadata for these photos detected patterns in the connectivity and rhetoric surrounding this ‘bone trade’, including several instances where ‘for sale’ seemed to be implied, though not explicitly stated. The present study looks for signals in the visual rhetoric of the images as detected by the computer and how these signals may intersect with the other data present.
    Notes:
    Huffer is first author
    Metadata:
    xml
    Published as:
    Journal article     Show details
    Pub. DOI:
    http://doi.org/10.5334/jcaa.8
    Publisher:
    Ubiquity Press, Ltd.
    Pub. Date:
    2018-5-31
    Journal:
    Journal of Computer Applications in Archaeology
    Volume:
    1
    Issue:
    1
    Page Range:
    55 - 63
    ISSN:
    2514-8362
    Status:
    Published
    Last Updated:
    5 years ago
    License:
    All Rights Reserved
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