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.

Our research track topics including but not limited to the following:

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


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.