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