ADR Awareness Centre

This lecture overviews Special topics in Object Detection that has many applications in embedded computing and drone vision.

This lecture overviews 3D Video Coding and Broadcasting that has many applications in 3D cinema, 3D TV and 3D video content streaming. It covers the following topics in detail: 3D Video Processing Chain. Video Coding Standards.

This lecture overviews Imaging for Drone Safety that has many applications in autonomous drones.

Nowadays, both social media sites, Media Archiving and Management (MAM) systems, and broadcaster mediatheques store huge amounts of video information.

This lecture overviews Edge Detection that has many applications in image analysis, notably shape description and object recognition. It covers the following topics in detail: Edge detection using numerical differentiation or image statistics.

The conference paper provides a brief introduction into manifolds from a computer vision perspective. Important manifolds for this research field, like symmetric positive definite matrices and affine transformation matrices, are presented.

This lecture overviews Sonar Imaging that has many applications in autonomous marine vessels. It covers the following topics in detail: Hydro Acoustics, Sonar Hardware, Calibration, Noise reduction, Echograms, Post Processing.

Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems.

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.

This paper delves into the critical role of social media in debates surrounding polarization, misinformation, and the state of democracy worldwide.

The Aristotle University of Thessaloniki (hereinafter, AUTH) created the dataset ‘3D-Flood’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; st