AI for visual information extraction and document/text analysis


   School of Science, Engineering and Environment

  Prof Apostolos Antonacopoulos  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Information on this PhD research area can be found further down this page under the details about the Widening Participation Scholarship given immediately below.

Applications for this PhD research are welcomed from anyone worldwide but there is an opportunity for UK candidates (or eligible for UK fees) to apply for a widening participation scholarship.

Widening Participation Scholarship: Any UK candidates (or eligible for UK fees) is invited to apply. Our scholarships seek to increase participation from groups currently under-represented within research. A priority will be given to students that meet the widening participation criteria and to graduates of the University of Salford. For more information about widening participation, follow this link: https://www.salford.ac.uk/postgraduate-research/fees. [Scroll down the page until you reach the heading “PhD widening participation scholarships”.] Please note: we accept applications all year but the deadline for applying for the widening participation scholarships in 2024 is 28th March 2024. All candidates who wish to apply for the MPhil or PhD widening participation scholarship will first need to apply for and be accepted onto a research degree programme. As long as you have submitted your completed application for September/October 2024 intake by 28 February 2024 and you qualify for UK fees, you will be sent a very short scholarship application. This form must be returned by 28 March 2024. Applications received after this date must either wait until the next round or opt for the self-funded PhD route.

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Project description: The Pattern Recognition and Image Analysis (PRImA) research Lab develops solutions to real-world problems, delivering outstanding impact in terms of reach and significance (4* research impact in REF2021). There is a significant need to extract and model information from a number of data sources using AI, computer vision and pattern recognition techniques. Such a project involves several aspects of research and use scenarios: information extraction from natural scenes, document analysis and recognition for cultural heritage applications, digitisation for digital transformation, image quality and performance evaluation/prediction, machine vision systems, image analysis workflows etc.

For more information on work related to the proposed project and ideas of current/past projects, please visit the PRImA research lab website: https://www.primaresearch.org.

Computer Science (8)

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