Displaying 281 resources
Deep Video Summarization
Nowadays, both social media sites, Media Archiving and Management (MAM) systems, and broadcaster mediatheques store huge amounts of video information.
Real-World Learning
In the past decade, artificial intelligence has made remarkable progress, achieving feats like self-driving cars, defeating go-masters, and precise image categorisation through supervised deep learning with labelled data.
Structure from Motion
Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles will be overviewed. The following topics will be covered: Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion.
Introduction to Image Processing
This lecture overviews digital images, image processing and image analysis. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel images, e.g., color and multispectral images come next.
3D Display Technologies
This lecture overviews 3D image and video displays that has many applications in stero vision, 3D cinema and 3D TV.
2D Object Detection and Tracking
This lecture overviews 2D Object Detection and Tracking that has many applications in autonomous car/drone vision (person, pedestrian, car tracking) and visual surveillance.
3D Road Surface Reconstruction
This lecture overviews 3D Road Surface Reconstruction that has many applications in autonomous car vision and smart city infrastructure inspection.
AI, Large Language Models and University Education
This lecture overviews the impact of AI, and Large Language Models, particularly of ChatGPT language model in Education, e.g., in Universities. First it present the ChatGPT transformer structure and ChatGPT training.
AI Science and Engineering: A new scientific discipline? Lecture
No matter their exact form, AI Science and Engineering and its sister disciplines have many great challenges to address.
Introduction to Autonomous Systems
A fully autonomous system can: a) gain information about the environment, b) work for an extended period without human intervention, c) move either all or part of itself throughout its operating environment without human assistance and d) avoid situa
1D Convolutional Neural Networks
This lecture overviews 1D Convolutional Neural Networks that has many applications in 1D signal analysis.
Road Condition Assessment
This lecture overviews Road Condition Assessment that has many applications in autonomous car perception and smart city management. It covers the following topics in detail: