7th IEEE International Conference on Multimedia Information Processing and Retrieval 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
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.

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 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:
    * Paper (regular/short/demo) submission: March 15, 2024 Pacific Time
    * Paper review available: May 8, 2024
    * Notification of acceptance: May 20, 2024
    * Camera-ready deadline: June 17, 2024