We invite submissions to IMVIP 2025 of papers presenting novel research contributions or applications related to any aspect of computer vision or image processing. IMVIP is the annual conference of the Irish Pattern Recognition and Classification Society, a member body of the International Association for Pattern Recognition (IAPR).
Contributions are sought in all aspects of image processing, pattern analysis and machine vision, including but not restricted to the following topics:
Visually Guided Robot Manipulation and Navigation
Computer Vision for Autonomous Vehicles
Augmented Reality/Virtual Reality
Data Clustering and Texture Analysis
Image & Video Representation, Compression and Coding
Medical and Biomedical Imaging
Active Vision, Tracking and Motion Analysis
Object and Event Recognition
Face and Gesture Recognition
2D, 3D Scene Analysis and Visualisation
Deep Learning for Computer Vision
Image/Shape Representation and Recovery
Applications, Architectures and Systems Integration
Full Papers must be a maximum of 8 pages including references and appendices.
Short papers must be a maximum of 4 pages including references and appendices.
Full Paper Deadline: 16th May 2025 Extended to 6th June 2025
Short Paper Deadline: 6th June 2025
Acceptance Notification: 30th June 2025
Camera Ready Deadline: 15th July 2025
-->Early Bird Registration: 30th June - 10th July 2025
Conference dates: 1-3 September 2025
Instrumental music instruction has well-documented benefits for cognitive, social, and motor development, yet the process of learning to play an instrument remains long and demanding, often resulting in disengagement among students. Leveraging advances in artificial intelligence and online education, we are developing a suite of interactive tools to support violin learning. These include a multimodal audio-visual system for real-time posture and bowing feedback, a haptic interface for rhythm training, and algorithms for personalized practice recommendations. This work contributes to the science of motor learning by providing new models for teaching complex sensorimotor skills, it advances computational perception through the integration of multimodal data in human movement analysis, and informs music pedagogy by enabling scalable, individualized instruction. From an educational equity perspective, it broadens access to instrumental training and helps democratize music education.
In this talk, we'll explore the capabilities of Amazon Rekognition, a powerful computer vision service offered by AWS. We'll dive into how companies and academic institutions are utilizing Rekognition to solve complex visual analysis challenges across various domains. The presentation will cover real-world use cases, demonstrating how Rekognition's pre-trained and customizable AI models are being applied in areas such as facial analysis, object and scene detection, and content moderation. We'll also discuss best practices for integrating Rekognition into existing workflows, scaling computer vision projects, and addressing common challenges. Attendees will gain insights into the practical applications of cloud-based computer vision services and how they can enhance their own ML and CV initiatives.
For information on accommodation, things to do and travel please Visit Derry
Prof. Sonya Coleman, Ulster University, Chair
Dr. Dermot Kerr, Ulster University, Chair
Deepika Nikam, Ulster University
Justin Quinn, Ulster University
Philip Vance, Ulster University
Contact for enquiries: sa.coleman at ulster dot ac dot uk