Call for Grand Challenges

Multimedia signal processing stands at the forefront of technological innovation, driving transformative advancements across diverse sectors such as entertainment, communication, healthcare, and beyond. The integration of Artificial Intelligence (AI) and Generative Computing (GC) has ushered in a new era of possibilities, redefining the creation, consumption, and understanding of multimedia content. This convergence not only overcomes the limitations of traditional signal processing techniques but also unlocks unprecedented opportunities for innovation. By fostering a symbiotic relationship between MMSP and AI/GC, we are poised to address both the challenges and opportunities that lie ahead, paving the way for groundbreaking developments that will benefit individuals, industries, and society as a whole. 

We are delighted to invite proposals for organizing algorithm or robotics grand challenges at IEEE MMSP 2025. These challenges will serve as a global platform for researchers to contribute their expertise and intelligence to tackle pressing problems in multimedia signal processing. We welcome submissions on a wide range of topics, including but not limited to:

– Deep learning techniques for multimedia signal processing

– Generative models for multimedia content creation, representation, and enhancement

– Applications of AI and GC in immersive multimedia experiences

– Cross-modal translation and synthesis

– Adaptive and self-learning multimedia systems

– Adversarial attacks and defenses in multimedia signal processing

– Interactive multimedia generation

– Human-computer interaction and user-centered design in multimedia applications

Submission Guidelines

To ensure a smooth submission process, please prepare your proposal in PDF format, limited to 5 pages, and include the following details: 

  1. Grand Challenge Title: A concise and descriptive title for your challenge.
  2. Significance of the Challenge: Explain the importance of the proposed challenge, its unique characteristics, and how it compares to related competitions. Highlight its potential impact on the advancement of MMSP. 
  3. Task Description: Clearly define the challenge tasks and outline the criteria for evaluating submissions.
  4. Dataset: Specify the dataset(s) to be used and clarify its size.
  5. Current State of the Art: Describe the current capabilities of existing algorithms and the expected advancements the challenge aims to achieve.
  6. Timeline: Provide proposed start and end dates for the challenge.
  7. Platform Details: Indicate the website or platform where the challenge will be hosted. Confirm whether the platform is ready or requires preparation.
  8. Fairness and Integrity: Detail the measures to ensure fairness, transparency, and reproducibility throughout the competition. 
  9. Awards and Incentives: Indicate whether awards (e.g., certificates, cash prizes, or other incentives) will be offered and how they will be structured. 
  10. Proposer Information: Include the names, titles, affiliations, photo, and contact emails of the proposers, along with a brief bio.
  11. Previous Editions: State whether this challenge has been held before. If so, provide details on previous venues and outcomes.
  12. Organizational Experience: Describe any prior experience in organizing similar competitions. 
  13. Expected Participation: Estimate the number of teams and their geographical distribution.
  14. Additional Requests: Mention any special requirements or support needed for the challenge. 

Proposals must be submitted via email to the Grand Challenges Chairs by the deadline. Please send your PDF proposal to both chairs:

Grand Challenges Chairs

– Prof. Wei Hu, Peking University, China. Email: forhuwei@pku.edu.cn

– Dr. Haozhe Lin, Tsinghua University, China. Email: linhz@tsinghua.edu.cn

Important Dates

– Proposal Submission Deadline: May 1, 2025

– Notification of Acceptance: May 15, 2025

We eagerly anticipate your innovative proposals and look forward to collaborating with you to make MMSP 2025 a landmark event in the field of multimedia signal processing. Together, let’s push the boundaries of technology and inspire the next wave of breakthroughs!