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.

We offer you the 12 articles on 221 pages as a pdf file in 300dpi for desktop and tablet. In addition, there is a version in the epub format for reading on mobile devices. And a tip: Don't miss the videos on pages 113 and 212!

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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! For more information:
http://dah-journal.org/contribute.html

ISSN: 2363-5398 (print version)
ISSN: 2363-5401 (electronic version)