31th International Conference on MultiMedia Modeling Call for Papers

The 31th International Conference on MultiMedia Modeling 
MMM 2025
January (VBS: 7-) 8 – 10, 2025 in Nara, Japan
Fist Call for Paper for MMM2025

MMM is a leading international conference for researchers and industry
practitioners for sharing new ideas, original research results and
practical development experiences from all MMM related areas.  The
conference calls for research papers reporting original investigation
results and demonstrations reporting novel and compelling
applications. Special sessions, keynote lectures, the Video Browser
Showdown will also contribute to a high-quality program.

Details and updates will be published on the conference’s Web site: 

Call for Contributions
MMM 2025 solicits submissions of contributions for the following programs:
  *   Full papers
  *   Special Sessions
  *   Demo Sessions
  *   Video Browser Showdown (VBS)

MMM 2025 proposes five special sessions:
  * SpIMA: Spatial Intelligence in Multimedia Analytics
  * Multimedia Research in Robotics
  * MLLMA: Multimodal Large Language Models and Applications
  * ExpertSUM: Expert-Level Text Summarization from Fine-Grained Multimedia Analytics
  * Simulating Edge Computing and Multimodal AI: A Benchmark for Real-World Applications

Important Dates:
  *   Regular and Special Session Paper Submission: July 22, 2024
  *   Demo Paper Submission: 19 August, 2024
  *   Video Browser Showdown Submission: 6 September, 2024
  *   Regular and Special Session Paper Notification: September 24, 2024
  *   Camera Ready Version and Registration: October 23, 2024

All paper submissions must conform to the formatting instructions of
Springer Verlag, LNCS series, and must strictly adhere to the
submission schedule.

MMM seeks contributions on the following research topics:

Multimedia Content Analysis

  *   Multimedia indexing
  *   Multimedia mining
  *   Multimedia abstraction and summarisation
  *   Multimedia annotation, tagging and recommendation
  *   Multimodal analysis for retrieval applications
  *   Semantic analysis of multimedia and contextual data
  *   Interactive learning
  *   Multimedia knowledge acquisition and construction
  *   Multimedia verification
  *   Multimedia fusion methods
  *   Multimedia content generation

Multimedia Signal Processing and Communications

  *   Media representation and algorithms
  *   Multimedia sensors and interaction modes
  *   Multimedia privacy, security and content protection
  *   Multimedia standards and related issues
  *   Multimedia databases, query processing, and scalability
  *   Multimedia content delivery, transport and streaming
  *   Wireless and mobile multimedia networking
  *   Sensor networks (video surveillance, distributed systems)
  *   Audio, image, video processing, coding and compression
  *   Multi-camera and multi-view systems

Multimedia Applications, Interfaces and Services

  *   Media content retrieval, browsing and recommendation tools
  *   Extended reality (AR/VR/MR) and virtual environments
  *   Real-time and interactive multimedia applications
  *   Multimedia analytics applications
  *   Egocentric, wearable and personal multimedia
  *   Urban and satellite multimedia
  *   Mobile multimedia applications
  *   Question answering, multimodal conversational AI and hybrid intelligence
  *   Multimedia authoring and personalisation
  *   Cultural, educational and social multimedia applications
  *   Multimedia for e-health and medical applications

Ethical, Legal and Societal Aspects of Multimedia

  *   Fairness, accountability, transparency and ethics in multimedia modeling
  *   Environmental footprint of multimedia modeling
  *   Large multimedia models and LLMs
  *   Multimodal pretraining and representation learning
  *   Reproducibility, interpretability, explainability and robustness
  *   Embodied multimodal applications and tasks
  *   Responsible multimedia modeling and learning
  *   Legal and ethical aspects of multimodal generative AI
  *   Multimedia research valorisation
  *   Digital transformation