#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(VBSは7)～10日に奈良で開催される、マルチメディアの国際学会 MMM 2025 の締め切りが約1か月延長されました！ RegularとSpecial Session論文 投稿締切: 2024年8月19日（月） Demo論文 投稿締切：2024年9月2日（月） Video Browser Showdown 投稿締切：2024年9月27日（金） Regular、Special Session、Demo論文 採択通知：2024年10月9日（水） 皆様のご発表申し込みをお待ちしております。 ================================================================== The 31th International Conference on MultiMedia Modeling — MMM 2025 January (VBS: 7-) 8 – 10, 2025 in Nara, Japan https://mmm2025.net/ ================================================================== Call for Paper for MMM2025 *** The submission deadline has been extended by 4 weeks! *** 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 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: https://mmm2025.net/ 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 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 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