Call for Papers
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.
Topics of Interest: We invite submissions on a wide range of topics related to Sustainable Pattern Recognition and Computer Vision developments, including but not limited to:
-
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
Paper Format and Length
This workshop follows ICPR 2024 guidelines related to paper format and length. Springer LNCS format with a maximum of 15 pages (including references) during paper submission. There is no minimum page limit.
Springer LNCS paper formatting instructions and templates for ICPR-2024 can be found by following these links: DOC and Latex
Submission Link
All the papers to be submitted through the Conference Management Toolkit (CMT) link: Submit
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).
Registration
Workshop registration will be handled by ICPR-2024 main conference committee and hence, follow ICPR-2024 website for related information.
Contact
For queries related to the workshop, please contact Prof. Dilip K. Prasad (dilip.prasad@uit.no)