【早期登録〆切11/15】マルチメディア国際学会 MMM2025＠奈良
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Yoko Yamakata
Nov 7, 2024, 7:37:46 PM11/7/24
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#重複でお受け取りの際はご容赦ください。
東京大学の山肩です。
2025年1月8～10日に奈良で開催される
マルチメディアに関する国際学会 MMM 2025 への参加のご案内です。
早期登録（Early-bird）締切：2024年11月15日 23:59 (日本時間 UTC+9)
最終登録（Late）締切：2025年1月10日 23:59 (日本時間 UTC+9)
皆様のご参加をお待ちしております。
==================================================================
The 31st International Conference on MultiMedia Modeling — MMM 2025
January 8 – 10, 2025 in Nara, Japan
https://mmm2025.net/
==================================================================
Call for Participants 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.
Registration deadlines:
Early-bird deadline **approaching**:
until 23:59 on Nov. 15, 2024 (UTC+9)
Late: until 17:00 on Jan. 10, 2025 (UTC+9)
Register here;
https://mmm2025.net/registration/
Venue:
Nara Kasugano International Forum 甍 IRAKA
http://www.i-ra-ka.jp/en/
Keynote Talks:
* "Multimodal, Multilingual Generative AI: From Multicultural Contextualization to Empathetic Reasoning" by Nancy F. Chen (A*STAR, Singapore)
* "Manga109 and MangaUB: How Far Can Large Multimodal Models (LMMs) Go in Understanding Manga?" by Kiyoharu Aizawa (The University of Tokyo, Japan)
* "Multi-modal foundation models in the automotive industry" by Andrei Bursuc (valeo.ai, France)
Regular program:
* 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 Multimedia Analytics
* Simulating Edge Computing and Multimodal AI: A Benchmark for Real-World Applications
Topics:
Multimedia Content Analysis:
* Multimedia indexing
* Multimedia mining
* Multimedia 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:
* 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
東京大学の山肩です。
2025年1月8～10日に奈良で開催される
マルチメディアに関する国際学会 MMM 2025 への参加のご案内です。
早期登録（Early-bird）締切：2024年11月15日 23:59 (日本時間 UTC+9)
最終登録（Late）締切：2025年1月10日 23:59 (日本時間 UTC+9)
皆様のご参加をお待ちしております。
==================================================================
The 31st International Conference on MultiMedia Modeling — MMM 2025
January 8 – 10, 2025 in Nara, Japan
https://mmm2025.net/
==================================================================
Call for Participants 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.
Registration deadlines:
Early-bird deadline **approaching**:
until 23:59 on Nov. 15, 2024 (UTC+9)
Late: until 17:00 on Jan. 10, 2025 (UTC+9)
Register here;
https://mmm2025.net/registration/
Venue:
Nara Kasugano International Forum 甍 IRAKA
http://www.i-ra-ka.jp/en/
Keynote Talks:
* "Multimodal, Multilingual Generative AI: From Multicultural Contextualization to Empathetic Reasoning" by Nancy F. Chen (A*STAR, Singapore)
* "Manga109 and MangaUB: How Far Can Large Multimodal Models (LMMs) Go in Understanding Manga?" by Kiyoharu Aizawa (The University of Tokyo, Japan)
* "Multi-modal foundation models in the automotive industry" by Andrei Bursuc (valeo.ai, France)
Regular program:
* 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 Multimedia Analytics
* Simulating Edge Computing and Multimodal AI: A Benchmark for Real-World Applications
Topics:
Multimedia Content Analysis:
* Multimedia indexing
* Multimedia mining
* Multimedia 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:
* 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
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