ADR Awareness Centre

The adaptive processing of graph data is a long-standing research topic that has been lately consolidated as a theme of major interest in the deep learning community.

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 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 Mathematical Morphology  that has many applications in digital image processing, analysis and computer vision.

Since the formulation of states, political authorities and political parties have sought to gauge public opinion. In recent years, opinion polls have been able to gratify this need rather efficiently.

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

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

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

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.

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.

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.

This lecture overviews 3D image and video displays  that has many applications in stero vision, 3D cinema and 3D TV.