日本データベース学会の皆様 お茶大のLeです。 MIPR2026のCall for Demo papersの締切は2026年5月31日まで延長されました。 締切まで少し時間があるので、ぜひご投稿の検討をお願いします。 Le ================= The 9th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2026) Call for Demo Papers Important Dates: ● Demo submission: May 31, 2026 (AoE) ● Notification of acceptance: June 12, 2026 (AoE) ● Camera-ready deadline: June 19, 2026 (AoE) Submission Link: https://cmt3.research.microsoft.com/MIPR2026 Site: https://mipr2026.org/calls/demo/ The IEEE MIPR 2026 organizing committee invites proposals for technical demonstrations to be presented in conjunction with the conference. Technical demonstrations will show cutting-edge work in any area of multimedia information retrieval. Demonstrations offer the opportunity to present and receive feedback on live working systems in an informal setting. Submissions are particularly encouraged in the following areas, with emphasis on multimedia information retrieval, but not limited to: Generative and Foundation Models in Multimedia • AI-generated media • Diffusion and LLM-based generation • Multimodal and vision-language models • Detection, alignment, and safety • Large multimodal models and 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 Video/Audio in Multimedia • Speech/Voice Synthesis • Conversation Analysis • Speaker and Language Identification • Audio Signal Analysis • Spoken Language Generation • Automatic Speech Recognition • Spoken Dialogue and Conversational AI Systems Vision and Content Understanding • Virtual/Augmented/Mixed Reality • Object Detection and Tracking • 3D Modeling, Reconstruction, and Interactive Applications • Multimodal/Multisensor Interfaces, Integration, and Analysis • Effective and Scalable Solution for Big Data • Complex Event Processing Multimedia Retrieval • Search and Recommendation • Web-Scale Retrieval • Relevance Feedback, Active/Transfer Learning • 3D and Sensor Data Retrieval • Multimodal Media (Images, Videos, Texts, Graph/Relationship) Retrieval • High-Level Semantic Multimedia Features Machine/Deep Learning/Data Mining • Deep Learning • Multimodal Fusion • Feature Learning • Spatio-Temporal Data Mining • Novel Dataset for Learning and Multimedia Multimedia Systems and Infrastructures • Multimedia Systems and Middleware • Data Analytics Infrastructure • Distributed Systems and Cloud Computing Networking in Multimedia • Internet Scale System Design • Information Coding for Content Delivery Data Management • Multimedia Data Collection, Modeling, Indexing, or Storage • Data Integrity, Security, Protection, Privacy • Standards and Policies for Data Management Novel Applications • Health and Sports • Culture and Education • Fashion and Living • Security and Safety • Tourism Internet of Multimedia Things • Real-Time Data Processing • Autonomous Systems (Driverless Cars, Robots, Drones, etc.) • Mobile and Wearable Multimedia User Experience and Engagement • Quality of Experience • User Engagement • Emotional and Social Signals A demo submission should present a working system, prototype, or interactive platform. Submissions may describe: ● System architecture and key components ● Novelty and technical contribution ● Demonstration scenario (what attendees will see) ● Relevance to multimedia information retrieval The official language of IEEE MIPR 2026 is English. For technical demonstrations, authors should submit the following materials following the submission guidelines provided on the IEEE MIPR 2026 webpage: ● A 4-page manuscript in double-column IEEE format, including the authors' names and affiliations (excluding references). ● A demonstration video (3-5 minutes) should present the working system, including user interaction and outputs. Slide-only videos are discouraged. Please upload the manuscript and the video files to the paper submission system. Only electronic submissions will be accepted. All technical demonstration papers should be in Adobe Portable Document Format (PDF). The Conference Proceedings will be published by the IEEE Computer Society Press and available for online access via IEEEXplore. All submissions will be peer-reviewed to ensure quality.