Call for Paper for the International Workshop on “Sustainable Pattern Recognition and Computer Vision Developments – Balancing Innovation and Environmental Responsibility (SPRCV) in conjunction with ICPR 2024, Kolkata, India, December 1, 2024.

Description of Topic

We have experienced an unparalleled wave of technological advancements, with Artificial Intelligence (AI) taking the forefront in revolutionizing industries and reshaping the fabric of society. This rapid growth has ushered us into an era where machines simulate human intelligence, performing complex tasks and decision-making with remarkable efficiency. While the potential benefits of AI are immense, these technological advancements have encountered issues related to environmental well-being while developing and deploying. The intersection of such techniques and their environmental implications has emerged as a significant focal point in recent times as we wrestle with the challenges associated with climate change and environmental degradation. The energy consumption, carbon footprint, and resource utilization associated with such technologies are significant, raising questions about their long-term impacts on the environment. Therefore, standing at the junction of innovation and environmental well-being, it is crucial to address the concerns raised and outline solutions to nurture AI development in harmony with environmental welfare.

This workshop aims to provide a comprehensive platform for stakeholders to engage in profound discussions and gain practical insights into addressing the intricate relationship between AI-aided Pattern Recognition and Computer Vision technologies and sustainability. By exploring the multifaceted dimensions of this relationship, the workshop seeks not only to raise awareness of the environmental implications to the Pattern Recognition and Computer Vision community but also to equip participants with the knowledge and tools necessary to contribute to the development and deployment of such technologies in an environmentally responsible manner. Further, it is to be noted that the workshop will include general topics from the Pattern Recognition and Computer Vision domains that are designed in an environment-friendly way. In summary, the topics, but not limited to, that will be covered during this workshop are as follows.

• Energy-efficient algorithms and architectures
• Resource-efficient deep learning model training
• Environmental impact assessments of computer vision system
• Sustainable data collection and annotation methods
• Green computing in pattern recognition and computer vision
• Renewable energy applications for computer vision and pattern recognition
• Ethical considerations in sustainable AI
• Environment-friendly computer vision and pattern recognition applications
• Case studies and best practices in sustainable pattern recognition and computer vision

Main Organizers

– Dilip K. Prasad ,  UiT The Arctic University of Norway, Tromsø, Norway
– Balasubramanian Raman, Indian Institute of Technology Roorkee, India
– Krishan Berwal, National Institute of technology, Kurukshetra, India
– Debi Prosad Dogra, Indian Institute of Technology Bhubaneswar, India
– Ajit Bopardikar, University of Houston, USA
– Balvinder Singh, Samsung Electronics, India
– Ayan Kumar Bhunia, University of Surrey, UK & Sony, UK
– Samir Malakar, UiT The Arctic University of Norway, Tromsø, Norway
– Arif Ahmed, XIM University, India
– Iti Chaturvedi, James Cook University, Australia
– Ayush Somani, UiT The Arctic University of Norway, Tromsø, Norway.

Important Dates 

Full Paper Submission Deadline: August 09, 2024

Decisions to Authors:                  September 16, 2024

Camera-ready Deadline:             September 23, 2024

Publication: The accepted papers can be included in the ICPR 2024 workshop proceedings, which will be published in Lecture Notes in Computer Science (LNCS), Springer (https://www.springer.com/gp/computer-science/lncs)

Selected papers, after extensions and further revisions, will be published in a special issue of an international journal.

****************************************************************

7th Workshop on Computer VISion for ART Analysis
In conjunction with the 2024 European Conference on Computer Vision (ECCV),
MiCo Milano, Milano, Italy

****************************************************************

IMPORTANT DATES
Full & Extended Abstract Paper Submission: July 3rd 2024
Notification of Acceptance: August 12th 2024
Workshop: September 29th/30th 2024
Camera-Ready Paper Due: August 22nd 2024

****************************************************************

Following the success of the previous editions of the Workshop on Computer VISion for ART Analysis held in 2012, `14, `16, `18, `20, `22, we present VISART VII. VISART will continue its role as a forum for the presentation, discussion, and publication of Computer Vision (CV) techniques for the understanding of art. The explosion in the generative art, digitization of artworks, and digitally-born art highlights the importance of application in the overlap between CV and art; such as ways to reason, connecting language, structuring data (i.e. databases) for Art to Cultural Heritage.

As with the prior edition, VISART VII offers two tracks:

1. Computer Vision for Art – technical work (standard ECCV submission, 14 page excluding references, appearing in proceedings)
2. Uses and Reflection of Computer Vision for Art (Extended abstract, 4 page, excluding references, NOT appearing in proceedings)

New in this edition of the VISART Workshop we introduce a panel session with renowned experts from Computer Vision and Digital Humanities.

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 2024, calls for high-quality, previously unpublished, works related to Computer Vision and Cultural History. Submissions for both tracks should conform to the ECCV 2024 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/VISARTVII2024

TOPICS include but are not limited to:

– Art History and Computer Vision
– Image and visual representation in art and visual culture
– 3D reconstruction from visual art or historical sites
– Approaches for generative art
– 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 for cultural heritage
– Big-data analysis of art Media content analysis and search
– Media content analysis and search

ORGANIZERS:

Amanda Wasielewski, Uppsala University
Nanne van Noord, University of Amsterdam
Noa Garcia, Osaka University
Peter Bell, University of Marburg
Stuart James, Durham University & UCL DH