Call for Papers
Important Dates:

Regular and Special Session Paper Submission:
19 August 2024 (Extended)
Demo Paper Submission:
2 September 2024 (Extended)Video Browser Showdown Submission:
27 September 2024 (Extended)
Regular, Special Session and Demo Paper
Notification: 9 October 2024 (Extended)
Camera Ready Version and Registration:
23 October 2024

Organizing Committee:

Honorary Chairs
Kiyoharu AIZAWA (The University of Tokyo, Japan)
Noboru BABAGUCHI (Fukui University of Technology/ Osaka University, Japan)
General Chairs
Ichiro IDE (Nagoya University, Japan)
Yiannis KOMPATSIARIS (CERTH-ITI, Greece)
ChangSheng XU(Chinese Academy of Sciences, China)
Keiji YANAI(University of Electro-Communications, Japan)
Program Coordinator:
Chong-Wah NGO(Singapore Management University, Singapore)
Shin'ichi SATOH(National Institute of Informatics, Japan)
Technical Program Chairs:
Wei-Ta CHU(National Cheng Kung University, Taiwan)
Naoko NITTA(Mukogawa Women's University, Japan)
Michael RIEGLER (Simula, Norway)
Toshihiko YAMASAKI(The University of Tokyo, Japan)
Demo Chairs:
Minchun HU (National Tsinghua University, Taiwan)
Wolfgang HÜRST(Utrecht University, The Netherlands)
Marie KATSURAI (Doshisha University, Japan)
Taishi SAWABE (NAIST, Japan)
Video Browser Showdown Chairs:
Werner BAILER (JOANNEUM RESEARCH, Austria)
Cathal GURRIN (Dublin City University, Ireland)
Klaus SCHOEFFMANN(Klagenfurt University, Austria)
Local Arrangement Chairs:
Takuya FUNATOMI (NAIST, Japan)
Yasutomo KAWANISHI (RIKEN, Japan)
Kazuya KITANO (NAIST, Japan)

HP: https://mmm2025.net/

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.

Regular Programs:
Full papers, Special Sessions, Demo Sessions, Video Browser Showdown (VBS)
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 MultimediaAnalytics
 Simulating Edge Computing and Multimodal AI:
A Benchmark for Real-World Applications
MMM seeks contributions on the following topics: Multimedia Content Analysis
 Multimedia indexing, mining, abstraction and summarization
 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

Multimedia Applications, Interfaces and Services



Ethical, Legal and Societal Aspects of Multimedia

 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

 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 personalization
 Cultural, educational and social multimedia applications
 Multimedia for e-health and medical applications
 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 valorization, Digital transformation