Extracting Illustrated Pages from Digital Libraries with Python

Machine learning and API extensions by HathiTrust and Internet Archive are making it easier to extract page regions of visual interest from digitized volumes. This lesson shows how to efficiently extract those regions and, in doing so, prompt new, visual research questions.

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Bibliographic Details
Published in:The programming historian 2019-01, Vol.8 (8)
Main Author: Krewson, Stephen
Format: Article
Language:English
Subjects:
19th century
Archives & records
Childrens picture books
Digital libraries
Linux
Machine learning
Metadata
Software
Web archiving
Online Access:Get full text
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Description
Summary:Machine learning and API extensions by HathiTrust and Internet Archive are making it easier to extract page regions of visual interest from digitized volumes. This lesson shows how to efficiently extract those regions and, in doing so, prompt new, visual research questions.
ISSN:2397-2068
2397-2068
DOI:10.46430/phen0084