Grand Challenges in Green Multimedia Signal Processing

It’s time to take action against the threat of climate change by making significant changes to our global greenhouse gas (GHG) emissions. That includes rethinking how we consume energy for digital technologies. Did you know that video streaming technology alone is responsible for over half of digital technology’s global impact? With the rise of digital and remote work becoming more common, there’s been a rapid increase in video data volume, processing, and streaming. Unfortunately, this also means an increase in energy consumption and GHG emissions. But with thoughtful and positive efforts, we can make a difference and reduce our impact on the environment. Let’s do this!

We are thrilled to invite experts and researchers to join us for the Grand Challenges in Green Multimedia Signal Processing at the IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)! This is an exciting opportunity to explore the latest developments and challenges in reducing energy consumption in multimedia systems. Our session is dedicated to sharing innovative concepts and energy-efficient solutions across the entire spectrum of video generation, processing, delivery, and usage. Let’s work together to make a positive impact on the environment and multimedia industry!

We’re excited to invite you to submit your awesome proposals for the grand challenges in green multimedia signal processing. We’re looking for innovative solutions and results that can make a real difference in this field. To make the process easier, please follow the regular MMSP paper template with a maximum of four pages including acknowledgments, references, or any additional material you’d like to include. You can rest assured that your submission will be reviewed by top experts in the field, and accepted papers will be featured in the MMSP conference proceedings, which will be included in IEEE Xplore. We can’t wait to see what you’ve got!

Submissions should follow the IEEE template given in the Instructions for authors section.


  • Submission deadline: August 16, 2023
  • Acceptance Notification: August 30, 2023


  • Cagri Ozcinar, MSK AI, UK
  • Christian Timmerer, Alpen-Adria-Universität, Austria
  • Samira Afzal, Alpen-Adria-Universität, Austria

For any questions regarding the challenge, please send an email to