Vision for Art
VISART V
Workshop at the European Conference of Computer Vision (ECCV)
Glasgow, 23rd August 2020
Call for Papers
Following the success of the previous editions of the Workshop on Computer VISion for ART Analysis held in 2012, `14, `16, and `18 we present the VISART V workshop, in conjunction with the 2020 European Conference on Computer Vision (ECCV 2020). VISART will continue its role as a forum for the presentation, discussion and publication of Computer Vision (CV) techniques for the analysis of art. As with the prior edition, VISART V offers two tracks:
1. Computer Vision for Art - technical work (standard ECCV submission, 14 page excluding references)
2. Uses and Reflection of Computer Vision for Art (Extended abstract, 4 page, excluding references)
The recent explosion in the digitisation of artworks highlights the concrete importance of application in the overlap between CV and art; such as the automatic indexing of databases of paintings and drawings, or automatic tools for the analysis of cultural heritage. Such an encounter, however, also opens the door both to a wider computational understanding of the image beyond photo-geometry, and to a deeper critical engagement with how images are mediated, understood or produced by CV techniques in the `Age of Image-Machines' (T. J. Clark). Submissions to our first track should primarily consist of technical papers, our second track therefore encourages critical essays or extended abstracts from art historians, artists, cultural historians, media theorists and computer scientists.
The purpose of this workshop is to bring together leading researchers in the fields of computer vision and the digital humanities with art and cultural historians and artists, to promote interdisciplinary collaborations, and to expose the hybrid community to cutting-edge techniques and open problems on both sides of this fascinating area of study.
This half-day workshop in conjunction with ECCV 2020, calls for high-quality, previously unpublished, works related to Computer Vision and Cultural History. Submissions for both tracks should conform to the ECCV 2020 proceedings style and will be double-blind peer reviewed by at least three reviewers. However, extended abstracts will not appear in the conference proceedings. Papers must be submitted online through the CMT submission system at:
(Submission only through CMT not OpenReview)
TOPICS include but are not limited to the follwing:
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Art History and Computer Vision
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Cultural Heritage and Computer Vision
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Image and visual representation in art
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3D reconstruction from visual art or historical sites
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2D and 3D human pose and gesture estimation in art
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Multi-modal multimedia computing systems and human-machine interaction
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Multimedia databases and digital libraries for artistic and art-historical research
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Visual Question & Answering (VQA) or Captioning for Art
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Interactive 3D media and immersive AR/VR environments for cultural heritage
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Authentication Forensics and dating
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Big-data analysis of art
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Media content analysis and search
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Security and legal issues in the digital presentation and distribution of cultural information
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Surveillance and Behaviour analysis in Galleries, Libraries, Archives and Museums
Tentative Important Dates
Submission Deadline:
Keynotes
Aaron Hertzmann
Bio
Aaron Hertzmann is a Principal Scientist at Adobe, Inc., and an Affiliate Professor at University of Washington. He received a BA in Computer Science and Art & Art History from Rice University in 1996, and a PhD in Computer Science from New York University in 2001. He was a professor at the University of Toronto for 10 years, and has worked at Pixar Animation Studios and Microsoft Research. He has published over 100 papers in computer graphics, computer vision, machine learning, robotics, human-computer interaction, and art. He is an ACM Fellow and an IEEE Fellow.
