Call for Papers

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

August 7 – 9, 2024

San Jose, CA, USA

http://www.ieee-mipr.org

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


Click to download the Call for Paper Poster PDF



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

A vast amount of multimedia data is becoming accessible, making the understanding of spatial and/or temporal phenomena crucial for many applications. This necessitates the utilization of techniques in the processing, analysis, search, mining, and management of multimedia data. The 7th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR 2024) will take place in San Jose, CA, USA on August 7–9, 2024, 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 includes a main conference as well as multiple associated keynote speeches, workshops, challenge contests, tutorials, and panels.


Submission Link: https://cmt3.research.microsoft.com/MIPR2024

Topics

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

Paper Submission:

The conference will accept regular papers (6 + 1 pages), short papers (4 pages), and demo papers (4 pages), including 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/MIPR2024. All accepted papers presented in MIPR 2024 will be published in the conference proceedings which will also be available online at the IEEE Xplore digital library.

Important Dates: