International
Journal for Digital Art History (DAH-Journal)
Issue #2:
Visualizing Big Image Data
The
DAH-Journal is a platform
for projects and ideas, for networking, expanding knowledge
and pushing forward
our discipline, Art History. We are proud to announce that the
second issue
"Visualizing Big Image Data" is now available.
Please
click here:
http://dah-journal.org/current.html
For
the table of contents see
below.
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Contents
Editorial
Harald Klinke, Liska Surkemper
Big Image Data as new research opportunity
in Art History
Harald Klinke
Big Image Data within the Big Picture of
Art History
Featured
Article
Maximilian Schich
Figuring Out Art History
Showing
Digitized Corpora
Babak Saleh, Ahmed Elgammal
Large-scale Classification of Fine-Art
Paintings.
Learning The Right Metric on The Right
Feature
Mathias Bernhard
Gugelmann Galaxy.
An Unexpected Journey through a collection
of Schweizer Kleinmeister
Artistic
Data and Network Analysis
Stefka Hristova
Images as Data.
Cultural Analytics and Aby Warburg’s
Mnemosyne
Matthew D. Lincoln
Social Network Centralization Dynamics in
Print Production in the Low
Countries, 1550- 1750
Interview
Harald Klinke, Liska Surkemper
In Conversation with George Legrady:
Experimenting with Meta Images.
Artistic Approaches meet Computational
Methods
Case
Studies
Damon Crockett
Direct Visualization Techniques for the
Analysis of Image Data
Carsten Dilba, Marian Dörk, Katrin Glinka,
Christopher Pietsch
Linking structure, texture and context in a
visualization of historical
drawings by Frederick William IV (1795-1861)
Workshops
Peter Bell
Computing Art. A Summer School for Digital
Art History
Caroline Bruzelius
The Visualizing Venice Summer Program “The
Biennale and the City”
We
would like to invite
everyone to actively participate in the discourse on the
future of Art History
as readers and authors. Get in contact with us! We welcome
your feedback: [log in to unmask]
ISSN:
2363-5398 (print
version)
ISSN: 2363-5401 (electronic version)