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Creating, Visualizing, Analyzing, and Comparing Series of Artworks Carlos Monroy, Richard Furuta, and Enrique Mallen.

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Presentation on theme: "Creating, Visualizing, Analyzing, and Comparing Series of Artworks Carlos Monroy, Richard Furuta, and Enrique Mallen."— Presentation transcript:

1 Creating, Visualizing, Analyzing, and Comparing Series of Artworks Carlos Monroy, Richard Furuta, and Enrique Mallen

2 Outline The On-line Picasso Project Timeline-based visualizations Visualizing and creating series Conclusions and future work Questions and answers

3 The On-line Picasso Project Is a Web-based reasoned catalogue Containing about 7000 photographs of Picasso’s artworks A detailed biography of Pablo Picasso, with linked photographs and maps A list of bibliographical references about Picasso’s works and life A collection of news items and articles from newspapers, magazines, and journals

4 A reasoned catalogue illustrations of the works information about title, time and place of execution, medium employed, dimensions, current location of the work, former owners past exhibitions in museums and/or galleries, previous illustrations in books, etc. Or “catalogue raisonné” is an extensive compilation of the works done by an artist, including:

5 A reasoned catalogue… (continued) Scholarly commentaries on the artwork (its relation to other works, its importance in the artist's career, its formal structure, etc.)

6 The On-line Picasso Project

7 Visualizing and Exploring Picasso’s World The on-line repository allows users to browse and visualize the items and their metadata Some limitations due to the collection’s static HTML-based presentation The challenge is how to explore the collection to discover: facts patterns relationships membership and orderings

8 Overview +Detail Overview 1 st level of detail 2nd level of detail 3rd level of detail

9 Uncertain Data in Picasso’s Collection Uncertainty when he started and/or ended an artwork Uncertainty where he painted an artwork Color fading scheme used to depict uncertain data for dates

10 Analyzing Picasso’s World Is there a pattern in what Picasso painted during specific seasons? How did events in his personal life influence his paintings? Which patterns can be identified between different decades? What determines membership in a distinct series? How do the various series correlate with each other?

11 Discovering Patterns Picasso’s artistic production in 1927.

12 Filtering the dataset Artworks created in Paris in 1927

13 Series in Picasso Why series are important? Recognize and place particular works at the right location and time Find a specific order Discover thematic and formal correlations Correlate Picasso’s artworks from distant periods Allow multiple orderings for works based on alternate dates/places of execution

14 Some catalogs about Picasso Zervos (entire works) Palau i Fabre (early years and cubism) Daix and Rosselet (cubism) Daix and Boudaille (early years) Musée Picasso Paris (collection in the Museum) Bloch (etchings) Baer (etchings) Mourlot (lithographs) Spies (statues) Ramie (ceramics)

15 Creating Series

16 Animating Series

17 Comparing Series Base series Comparison series

18 Depicting Series in Context

19 Catalog of Series

20 Conclusions  Its flexibility and interaction features can help art scholars to analyze series of artworks  The visualization tool enables the viewer to relate works from distant periods  Depicting multiple series in parallel enables users to compare different art critics orders  Identify thematic and formal correlations in artworks

21 Future Work  After adding other media, we expect to answer questions such as;  How do sculptures, ceramics, etchings, etc. relate to drawings and oils?  By including texts written by Picasso we expect to address the relationships between his writings and series of artworks  Create XML catalogues  Usability tests to evaluate the users response to the tool

22 Acknowledgements The Humanities Informatics Initiative funded by the Office of the Vice President for Research through a Telecommunications and Informatics Task Force grant Additional support from the College of Engineering, the College of Liberal Arts, the Glasscock Center, and the Texas A&M University Libraries


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