CfP: VISART VI "Where Computer Vision Meets Art" https://visarts.eu
ALLC RSS 2022-04-11
Summary:
CfP: VISART VI "Where Computer Vision Meets Art" https://visarts.eu
VISART VI "Where Computer Vision Meets Art" https://visarts.eu
6th Workshop on Computer VISion for ART Analysis In conjunction with the 2022 European Conference on Computer Vision (ECCV), Tel-Aviv, Israel
IMPORTANT DATES Full & Extended Abstract Paper Submission: 27th May 2022 Notification of Acceptance: 30th June 2022 Camera-Ready Paper Due: 12th July 2022 Workshop: TBA (23-27th October)
CALL FOR PAPERS
Following the success of the previous editions of the Workshop on Computer VISion for ART Analysis held in 2012, 14,16, `18 and 20 we present the VISART VI workshop, in conjunction with the 2022 European Conference on Computer Vision (ECCV 2022). 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 previous edition, VISART VI offers two tracks:
- Computer Vision for Art - technical work (standard ECCV submission, 14 pages excluding references)
- Uses and Reflection of Computer Vision for Art (Extended abstract, 4 pages, 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This workshop, in conjunction with ECCV 2022, calls for high-quality, previously unpublished, works related to Computer Vision and Cultural History. Submissions for both tracks should conform to the ECCV 2022 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:
https://cmt3.research.microsoft.com/VISART2022/
TOPICS include but are not limited to:
- Art History and Computer Vision
- Image and visual representation in art
- Approaches for generative art
- 3D reconstruction from visual art or historical sites
- 2D and 3D human pose and gesture estimation in art
- Multi-modal multimedia systems and human-machine interaction
- Multimedia databases and digital libraries for artistic research
- Visual Question & Answering (VQA) or Captioning for Art
- Interactive 3D media and immersive AR/VR for cultural heritage
- Computer Vision and cultural heritage
- Big-data analysis of art
- Media content analysis and search
- Security and legal issues in the digital presentation and distribution of cultural information
- Surveillance and Behavior analysis in Galleries, Libraries, Archives and Museums
INVITED SPEAKERS
- Prof. Béatrice Joyeux-Prunel, University of Geneva
- Prof. John Collomosse, Principal Scientist, Adobe Research & Professor of Computer Vision, CVSSP, University of Surrey
- Prof. Ohad Ben-Shahar, Ben Gurion University
ORGANIZERS:
- Alessio Del Bue, Istituto Italiano di Tecnologia (IIT)
- Leonardo Impett, University of Cambridge
- Peter Bell, Philipps-Universität Marburg
- Noa Garcia, IDS, Osaka University
- Stuart James, Istituto Italiano di Tecnologia (IIT) & UCL DH