Call for Demo Papers

The 7th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2024)

Joint conference collocation with the IEEE International Conference on Information Reuse and Integration for Data Science (IRI) 2024

Demo Papers

http://www.ieee-mipr.org

https://sites.google.com/view/mipr2024 


IEEE MIPR 2024 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

• Foundation Models in Vision

• Security of Large AI Models 

• Multimodal Media Detection 

• Generation and Detection with Diffusion Models

• Media Generation with Large 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


Video/Audio 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


Vision and Content Understanding

• Multimedia Telepresence and Virtual/Augmented/Mixed Reality

• Visual Concept Detection

• Object 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, 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

• Data Integrity, Security, Protection, Privacy

• Standards and Policies for Data Management


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


The written and spoken language of IEEE MIPR 2024 is English. For technical demonstrations, authors should submit:

Please upload the manuscript 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 be available for online access via IEEEXplore. All submissions will be peer-reviewed to ensure quality.

Important Dates: