Proceedings of the Digital Humanities Congress (Sheffield) are online

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Edited by Clare Mills, Michael Pidd and Esther Ward

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Keynote Presentations

1. Made in Sheffield: Industrial Perspectives on the Digital Humanities
   Andrew Prescott
2. Live and Kicking: The Impact and Sustainability of Digital Collections in the Humanities
   Lorna M. Hughes

Practising Digital Humanities

3. A Framework for Supporting the Digital Humanities: An Alternative to the DH Centre
   E. E. Snyder
4. Researchers as Infrastructure
   Erik Malcolm Champion
5. Promise and Paradox: Accessing Open Data in Archaeology
   Jeremy Huggett
6. An Undiscovered Country? A History of Archaeological Investigation in Post-War England
   Tim N.L. Evans
7. Digital Historians in Italy and the United Kingdom: Perspectives and Approaches
   Claudia Favero
8. Ahead of the CurV: Digital Curator Vocational Education
   Ann Gow and Laura Molloy
9. From Individual Solutions to Generic Tools
   Andrea Kulas and Lu Yu

Using Digital Resources

10. The PATHS System for Exploring Digital Cultural Heritage
    Mark Hall, Paula Goodale, Paul Clough and Mark Stevenson
11. Just Google It
    Max Kemman, Martijn Kleppe and Stef Scagliola
12. The Problem of Citation in the Digital Humanities
    Jonathan Blaney
13. Getting Rights Right! – The University of Sheffield Library Experience of Legal Issues and Digitisation.
    Clare Scott

Working with Text

14. Mining Dutch History: Researching Public Debate in the Nineteenth Century
    José de Kruif
15. Mapping Metaphors of Wealth and Want: A Digital Approach
    Marc Alexander and Ellen Bramwell
16. The Compromises and Flexibility of TEI Customisation
    James Cummings
17. Using Stand-off XML Markup to Record Scholarly Differences of Opinion About Typesetting
    Gabriel Egan
18. False Memories and Dissonant Truths: Digital Newspaper Archives as a Catalyst for a New Approach to Music Reception Studies
    Christopher Dingle and Laura Hamer
19. Analysing The Carlyle Letters Online
    Dingding Wang, Guannan Zhao, Yajie Hu, Neil F. Johnson, Brent E. Kinser and Mitsunori Ogihara

Visual Analysis

20. More than Meets the Eye: Going 3D with an Early Medieval Manuscript
    William Endres
21. Interpreting Textual Artefacts: Cognitive Insights into Expert Practices
    Ségolène Tarte
22. Building Digital Editions on the Basis of a Virtual Research Environment
    Tobias Schweizer and Lukas Rosenthaler
23. Exploring the Disciplinary Reach and Geographic Spread of the British Design Professions, 1959-2010
    Leah Armstrong, Karina Rodriguez Echavarria, Dean Few and David Arnold
24. Analysing Big Cultural Data Patterns in 2200 Covers of Veja Magazine
    Marcio Emilio dos Santos and Cicero Inacio da Silva

Knowledge Building

25. Data Journalism in Sweden - Opportunities and Challenges
    Ester Appelgren and Gunnar Nygren
26. Improving Record Matching Across Disparate Historical Resources
    David Croft, Stephen Brown and Simon Coupland
27. Crowdsourcing Our Cultural Heritage
    Genovefa Kefalidou, Mercourios Georgiadis, Bryn Alexander Coles and Suchith Anand
28. Reperio: A Collaborative Knowledge Environment for Digital Humanities
    Damiana Luzzi

How to Visualize 4512 Instagram selfies? Introducing new nersion of our free ImageMontage tool

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Montage of 4512 Instagram selfie photos from selfiecity.net project. Original image is 24000 pixels wide. (Montage shows our larger image set before we did the final manual check - so few images are not true single selfies. Images from Tokyo which were not used in the final presentation are also included.)


Closeup.


Full image (24000 pixels wide) scaled to 640 pixels.

See on Google+

See / download 8000 pixel wide version from Flickr.



Montage visualization of 33,292 photos shared on Instagram in Tel Aviv (April 20-26, 2012), sorted by hue (top to bottom, right to left). (These and three other visualizations below are from our Phototrails project - analysis and visualization of 2.3 million Instagram photos from 13 global cities.)


Montage visualization of 33,292 photos shared on Instagram in Tel Aviv during the same period, sorted by upload date (top to bottom, left to right).


Montage visualization of 55,498 Instagram photos from Tokyo uploaded during four consecutive days, sorted by upload date and time (top to bottom, left to right).


Montage visualization of 57,493 Instagram photos from New York uploaded during four consecutive days, sorted by upload date and time (top to bottom, left to right).



We released new version of ImageMontage free visualization tool (ImageMontage v.2).


ImageMontage v.2 - Key Features:

- Create high resolution montages of large image collections. For example, you can visualize a collection of 40,000 images (assume each image is 100 x 100 pixels) in a single 20,000 x 20,000 pixel montage.

- The images can have different sizes and/or proportions - they will be scaled to the same height in the montage.

- The order of images in a montage can be controlled by a user. (Create a text file with a list of file names in a sigle column, and use as the input in Image Source" option.) In the examples above, one montage organizes a set Instagram photos by upload date/time; another organizes the same images by average hue. (The plugins which measure image characteristics are included with our ImagePlot plugin.)

- You can include all images in a single folder; all images within subfolders; or images located in different areas of your drive ("Image Source" option.)

- The new version allows you to create 1-level, 2-level, or 3-level montages. For example, you can organize your photos by year, month, and event. Or, you can montage images of van Gogh painting by city, year, and season. (See examples below).


How to run:

ImageMontage is a plugin for ImageJ, a popular free open source image analysis software (runs on Mac, PC, Lunix).

1) Download ImageJ software;
2) Download ImageMontage plugin;
3) In ImageJ: use File > Open to open the plugin file. Then click on: Macros > Run. ImageMontage will start.


Also:

Check our ImagePlot and ImageSlice visualization plugins for ImageJ.




Examples of 1-level and 2-level montages:


A montage of selected van Gogh paintings organized by creation year (1-level montage).


A montage of selected van Gogh paintings organized by creation year and season (2-level montage).