日本データベース学会の皆様
お茶の水女子大学のLeです．
マルチメディアデータ処理に関する国際会議MIPR2025の論文募集を案内させていただきます。
Regular paper, Short paper, Demo paperのカテゴリがあるので、ぜひ投稿をご検討してください。
Le
MIPR 2025 Demo Co-chair
From: Microsoft CMT <email(a)msr-cmt.org>
Date: Saturday, January 11, 2025 at 14:42
To: Hieu Hanh Le <le(a)is.ocha.ac.jp>
Subject: [MIPR 2025] Call for Paper
Dear Hieu Hanh Le,
The 8th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2025)
August 6 – 8, 2025
San Jose, CA, USA
http://www.ieee-mipr.org
A vast amount of multimedia data is becoming accessible, making the understanding of spatial and/or temporal phenomena crucial for many applications. This necessitates using techniques in processing, analyzing, searching, mining, and managing multimedia data. The 8th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR 2025) will take place in San Jose, CA, USA on August 6–8, 2025, to provide a forum for original research contributions and practical system design, implementation, and applications of multimedia information processing and retrieval. The target audiences include university researchers, scientists, industry professionals, software engineers, and graduate students. The event consists of a main conference and multiple associated keynote speeches, workshops, challenge contests, tutorials, and panels.
Topics
Generative and Foundation Models in Multimedia
• AI-generated Media
• Foundation Models in Vision and Audio
• Multimodal Media Detection
• 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/Multisensor 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
Networking in Multimedia
• Internet Scale System Design
• Information Coding for Content Delivery
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
Novel 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
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
Paper Submission:
The conference will accept regular papers (6 pages), short papers (4 pages), and demo papers (4 pages), with additional one-page references. Authors are encouraged to compare their approaches, qualitatively or quantitatively, with existing work and explain the strengths and weaknesses of the new approaches. The CMT online submission site is at https://cmt3.research.microsoft.com/MIPR2025. All accepted papers presented in MIPR 2025 will be published in the conference proceedings which will also be available online at the IEEE Xplore digital library.
Important Dates:
Paper (regular/short/demo) submission: March 15, 2025 (Pacific Time)
Paper review available: May 8, 2025 (Pacific Time)
Notification of acceptance: May 20, 2025 (Pacific Time)
Camera-ready deadline: June 17, 2025 (Pacific Time)
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