[dbjapan] CFP: MIPR 2026 (8/9-11, Bangkok, Thailand)

日本データベース学会の皆様 お世話になっております。 お茶の水女子大学のLeです。 IEEE MIPR 2026の論文募集をご案内します。 これまでサンノゼ（米国）で開催されることが多かった会議ですが、2026年はバンコク（タイ）での開催となります。 ぜひ投稿をご検討ください。 ウェブサイト: https://mipr2026.org 投稿締切: 2026年3月15日 採択通知: 2026年5月20日 よろしくお願いいたします。 Le ======================================== IEEE MIPR 2026 -- Call for Papers ======================================== With vast amounts of multimedia data now widely accessible, understanding spatial and/or temporal phenomena has become essential for numerous applications, driving the need for advanced techniques in processing, analyzing, searching, mining, and managing such data. The 9th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2026) will be held in Bangkok, Thailand, 9–11 August 2026. It offers a premier forum for presenting original research and practical advances in the design, implementation, and application of multimedia information processing and retrieval. The congress convenes university researchers, scientists, industry professionals, software engineers, and graduate students for a four-day program that blends a flagship technical track with keynote speeches, workshops, demonstrations, posters, tutorials, and panels. The Organizing Committee members of the conference look forward to welcoming you in person in Bangkok in August 2026. 1 Important Dates ========================== All deadlines below are 11:59 PM Anywhere on Earth - Submission deadline (First Round): Mar 15, 2026 - Acceptance Notifications: May 20, 2026 - Camera Read Deadline: Jun 17, 2026 2 Paper Submission ========================== Papers reporting original and unpublished research results pertaining to the topics in the CFP are solicited. Full paper manuscripts must be in English, following the IEEE two-column template instructions. Submissions should include the title, author(s), affiliation(s), e-mail address(es), abstract, and institution information in the first page. The online submission site is https://cmt3.research.microsoft.com/MIPR2026. We invite submissions in three categories: regular paper (6 pages), demo paper (4 pages) and poster paper (2 pages). Each submission will undergo a thorough peer-review process. 3 Research Track Topics: ========================== Generative and Foundation Models in Multimedia • AI-generated Media • Foundation Models in Vision and Audio • Media Generation with Generative Models • Media Generation with Large Vision/Language Models • Visual and Vision-Language Pre-training • Generic Vision Interface • Alignments in Text-to-image Generation • Large Multimodal Models • Multimodal Agents Trustworthy AI in Multimedia • AI Reliability for Multimedia Applications and Systems • AI Fairness for Multimedia Applications and Systems • AI Robustness for Multimedia Applications and Systems • Attack and Defense for Multimedia Applications and Systems • Security of Large AI Models Audio and Speech in Multimedia • Speech/Voice Synthesis • Analysis of Conversation • Speaker and Language Identification • Audio Signal Analysis • Spoken Language Generation • Automatic Speech Recognition • Spoken Dialogue and Conversational AI Systems Content Understanding • Multimedia Telepresence and Virtual/Augmented/Mixed Reality • Visual Concept Detection • Detection and Tracking • 3D Modeling, Reconstruction, and Interactive Applications • Multimodal/Multisensory Interfaces, Integration, and Analysis • Effective and Scalable Solution for Big Data Integration • Affective and Perceptual Multimedia Multimedia Retrieval • Multimedia Search and Recommendation • Web-Scale Retrieval • Relevance Feedback, Active/Transfer Learning • 3D and Sensor Data Retrieval • Multimodal Media (Images, Videos, Audio, Texts, Graph/Relationship) Retrieval • High-Level Semantic Multimedia Features Machine/Deep Learning/Data Mining • Deep Learning in Multimedia Data and Multimodal Fusion • Deep Cross-Learning for Novel Features and Feature Selection • High-Performance Deep Learning (Theories and Infrastructures) • Spatio-Temporal Data Mining • Novel Dataset for Learning and Multimedia Multimedia Systems and Infrastructures • Multimedia Systems and Middleware • Software Infrastructure for Data Analytics • Distributed Multimedia Systems and Cloud Computing • Internet Scale System Design • Information Coding for Content Delivery • Real-Time Data Processing for Internet of Multimedia Things Data Management • Multimedia Data Collection, Modeling, Indexing, or Storage • Multimedia and Content Forensics • Data Integrity, Security, Protection, and Privacy • Standards and Policies for Data Management • Steganography for Secure Data Embedding • Homomorphic Encryption for Secure Data Processing Applications • Multimedia Applications for Health and Sports • Multimedia Applications for Culture and Education • Multimedia Applications for Fashion and Living • Multimedia Applications for Security and Safety • Multimedia Applications for Agriculture • Autonomous Systems (Self-driving Cars, Robots, Drones, etc.) • Mobile and Wearable Multimedia