Discover Computing, a Springer Nature journal, invites submissions to the collection “Recent Advances in Media Computing.”
About the Collection
The landscape of Media Computing is undergoing a fundamental shift. While recent deep learning breakthroughs, such as diffusion models, large multimodal foundation models, and adversarial generative techniques, have significantly enhanced media creation and manipulation, they still face critical limitations. These include high computational demands, shallow semantic reasoning, limited controllability, perceptual inconsistencies, and challenges related to trust, safety, and authenticity.
This collection focuses on next-generation Media Computing methodologies that bridge intelligent media understanding with efficient representation, perceptual modeling, and multimodal interaction. Its goal is to advance media systems that are resource-efficient, perceptually aligned, semantically grounded, and suitable for real-world deployment across visual, haptic, audio, 3D, immersive, and cross-modal scenarios.
The collection aims to chart the future trajectory of Media Computing by highlighting research that unifies intelligence, perception, efficiency, and cross-modal interaction.
Topics of Interest
- Media Computing
- Computer Vision
- Multimodal Learning
- Diffusion Models
- Perception-Aware Models
- Semantics-Aware Analysis
- Cross-Modal Intelligence
- Neuro-Symbolic Learning
- Video and 3D Compression
- Point Cloud Processing
- Immersive Media (VR/AR/6DoF)
- Multimodal Interaction
- Human-in-the-Loop Systems
Applications of Particular Interest
Submissions demonstrating real-world validation in the following applications are especially encouraged:
- Virtual and augmented reality
- Intelligent robotics and embodied AI
- Next-generation communication systems
- Healthcare imaging
- Environmental and underwater sensing
- Digital forensics
This collection supports and amplifies research related to SDG 9.
Guest Editors
- Prof. Zhaoqing Pan, DPhil, PhD, Tianjin University, Tianjin, China
- Prof. Yun Zhang, PhD, Sun Yat-sen University, Guangzhou, China
- Prof. Tiesong Zhao, PhD, Fuzhou University, Fuzhou, China
Important Date
Submission deadline: 31 December 2026
How to Submit
Please visit the collection website or scan the QR code in the flyer for submission details.
https://link.springer.com/collections/hcijcgcejf
About Discover Computing
Discover Computing is part of Springer Nature's Discover series. The journal publishes high-quality original research in computing and supports interdisciplinary and emerging research.
Please share this call for papers. We look forward to your submissions.