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Mr Ioannis Kazantzidis

Research project: Vide-omics: A Darwinian Approach to Video Analysis

Abstract

The aim of this project is to develop and apply a novel strategy for video analysis where videos are treated as mutating images. Treating images from the bioinformatics perspective allows the integration of genetics concepts as well as the bioinformatics algorithms in video processing.

Biography

I received the M. Eng degree in production & management engineering from Democritus University of Thrace, Xanthi, Greece, in 2013. Since 2014, I have been pursuing a PhD degree in computer science at Kingston University.

Areas of research interest

  • Computer Vision
  • Genomics-inspired computer vision
  • Image Segmentation
  • Motion Segmentation
  • Hidden Markov Models
  • Machine Learning

Qualifications

  • M. Eng Production & Management Engineering

Publications

Vide-omics: A Genomics-inspired Paradigm for Video Analysis Computer Vision and Image Understanding (October 2017), Ioannis Kazantzidis, Francisco Florez-Revuelta, Mickael Dequidt, Natasha Hill, Jean-Christophe Nebel

Conference papers

Profile Hidden Markov Models for Foreground Object Modelling, IEEE International Conference on Image Processing (ICIP) 2018 (accepted)

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