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Argumentation-enhanced Explainable Image Quality Captioning (Arg-IQC)

  • //applyindex.com/wp-content/uploads/2023/11/United-Kingdome.png UK
  • University/Institute Name University of Dundee
  • Attendance Type On Campus (Full Time)
  • Position Duration3 years
  • Position Funding Type PhD Studentship
  • Unspecified Unspecified
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Position Details (PhD Program)

This Argumentation-enhanced Explainable Image Quality Captioning (Arg-IQC) project at University of Dundee brings together both, Image Processing and Computational Argumentation.

This Argumentation-enhanced Explainable Image Quality Captioning (Arg-IQC) Argumentation-enhanced Explainable Image Quality Captioning (Arg-IQC) project is offered at University of Dundee University of Dundee .

Context

Image Quality Captioning (IQC) has many potential applications such as helping mobile phone users to improve the quality of images they take by providing real-time feedback.

This PhD project has the following objectives:

  • Design, specify, and create a new dataset containing arguments captions justifying the overall quality assessment of the image based on specific features.
  • Formally define and describe the task of Visual Argument Mining, an argument-based image-to-text task that builds on previous work in this field incorporating argumentative reasoning and explainability.
  • Develop a multi-task learning model to predict quality score and generate caption to describe image visual quality.

Research Areas & Fields of Study involved in the position

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