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Image and Video Analytics with Deep Learning Models

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

This focus of this project area is to develop deep Learning models such as Convolutional neural networks (CNN) models capable of performing image and video analysis including classification, segmentation, detection etc. Key technology and tools to be used include Python, MATLAB, Keras, TensorFlow, AWS etc.

Key project areas:
a) Medical image analysis: Disease detection and classification (such as Lung Cancer detection) from X-Ray, CT and MRI scans.
b) Agricultural image analysis and GIS: Identifying different diseases and insect infestations and crop health monitoring in specific crops such as cotton and grapes.
c) Video analysis: Video summarisation, action, event and emotion detection in video samples.
d) Visual Attention Modelling: Eye Tracking based human visual attention modelling.

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