Computational Imaging is a field in computer science that studies the computational extraction of information from digital photographs and has democratised the process of capturing, preserving, disseminating, and promoting heritage.
The foundational skills in Distant Viewing and computer vision are increasingly relevant in the Digital Humanities, yet educational resources are often aimed at those with a background in computer science and statistics. For example, machine learning and digital image processing are fundamental to the Computational Humanities, but many scholars in the Digital Humanities lack accessible training in these areas.
The goal of this project was to create a focused course enabling students to acquire essential skills in computer vision, specifically tailored for Digital Humanists. Upon completing this course, students will possess a foundational understanding of digital image representation, computer vision methodologies, and machine learning techniques, all contextualized within a Digital Humanities framework.
This class is part of the project "Computer Vision for Digital Humanists" and licensed Creative Commons BY NC SA. This project (2023) was funded by CLARIAH-AT with the support of BMBWF. It was made possible by major contributions from the ERC DiDip project (From Digital to Distant Diplomatics). The video was produced by Moving Stills.
The goal of the project "Computer Vision for Digital Humanists" was the creation of educational self-learning resources on Computer Vision specifically for Digital Humanities, consisting of slide decks, Jupyter Notebooks with practical exercises in Python as well as teaching videos ( see the YouTube playlist. They cover a range of topics from the basics of computer vision and machine learning to training custom deep learning models for one's own historical data.
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In the late 1930s, just before war broke in Europe, a series of chaotic deporations took place expelling thousands of Jews from what is now Slovakia. As part of his research, Michel Frankl investigates the backgrounds of the deported people, and the trajectory of the journey they were taken on. This practical blog describes the tools and processes of analysis, and shows how a spatially enabled database can be made useful for answering similar questions in the humanities, and Holocaust Studies in particular.dLanguageTag
In this webinar from Friday Frontiers, Dario Rodighiero (University of Groningen) discusses visualisation and representation of scholarly knowledge. This presentation brings science mapping back to its original meaning by widening its context to arts and humanities with the help of design. dLanguageTag
In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ADCH-CH), Björn Ommer discusses Visual Analytics's concern of how to teach machines to enable visuals to speak for themselves. Pointing out the current inadequacy of research tools in the humanities, Ommer discusses questions such as "How would research in the humanities benefit if computers could handle images just as competently as they presently process text?"dLanguageTag
In this closing keynote at the DARIAH Virtual Annual Event 2021, Chris Heilmann, Principal PM for developer tools at Microsoft, covers a range of user-scenarios that he had to cover in the 25 years of building products for people on the web and what benefits it had to let go.dLanguageTag
This keynote lecture delivered at the DARIAH Annual Event 2021 by Sarah Kenderdine explores how computation has become ‘experiential, spatial and materialized; embedded and embodied’.dLanguageTag
This course is designed to develop your knowledge of the theory and practice of digitising material culture by producing computer generated and printed 3D models.dLanguageTag
