Explainable Deep Learning Method for Video Forgery Detection [Self-Funded Students Only]

   Cardiff School of Computer Science & Informatics

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  Dr Xianfang Sun  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

With recent technological advancement, a huge number of videos are created every day, and they are playing more and more important role in many application areas, such as communication, entertainment, social media, education, medicine, and surveillance. In many cases, videos contain significant information, whose authenticity is crucial. Unfortunately, forged videos can be easily created thanks to many digital image/video editing tools that are readily available for common people to manipulate images/videos. This project will develop some tools to detect forged videos.

The aim of this project is to develop deep learning-based video forgery detection methods that can identify forged videos and explain how the videos are forged. Explainable deep learning architectures are designed and tested for video forgery detection. Hierarchical methods are investigated, which involve extracting features from pixels, blocks, images, to videos levels and building links between the features and different types of forgery attacks. Visual dictionaries will also be explored for enhancing explanation.

Keywords: Video forgery detection, Explainable deep learning.

Please contact Dr Xianfang Sun ([Email Address Removed]) for more information on the project.

Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas. 

Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component. 

How to apply:

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

This project is accepting applications all year round, for self-funded candidates via https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics 

In order to be considered candidates must submit the following information: 

  • Supporting statement 
  • CV 
  • In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
  • Qualification certificates and Transcripts
  • Proof of Funding. For example, a letter of intent from your sponsor or confirmation of self-funded status (In the funding field of your application, insert Self-Funded)
  • References x 2 
  • Proof of English language (if applicable)

Interview - If the application meets the entrance requirements, you will be invited to an interview.  

If you have any additional questions or need more information, please contact: [Email Address Removed] 

Computer Science (8)

Funding Notes

This project is offered for self-funded students only, or those with their own sponsorship or scholarship award.
Please note that a PhD Scholarship may also available for this PhD project. If you are interested in applying for a PhD Scholarship, please search FindAPhD for this specific project title, supervisor or School within its Scholarships category.

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