Dr S Triantaphillidou, Dr S Getting
No more applications being accepted
Funded PhD Project (European/UK Students Only)
About the Project
The field of imaging has developed exponentially over the past two decades and is now one of the key drivers for generating new ways of seeing. Aesthetic analysis of digital images features in new generations of digital cameras, in image editing software and content selection tools on the internet. Relevant modern computational approaches (e.g. digital image analysis, deep learning methods) aim to increase our understanding of contemporary image perception in both scientific and art contexts.
The project presents ground for novel scientific research as well as theoretical debates on the subject of image aesthetics. It aims to explore the nature of aesthetics associated with contemporary imaging outputs and to investigate advanced computational approaches that are currently used to simulate what humans perceive as aesthetically pleasing. From the outset of aesthetics as a discipline, prominent philosophers have recognised that aesthetic values in art are not easily defined. The research stands to challenge conventional approaches to computational aesthetics and to discover advanced, sophisticated methods of defining contemporary image aesthetics through computational means.
The project has gained the partnership of the Royal Photographic Society (http://www.rps.org), which will grant access to the digital image dataset from the RPS’s International Images for Science competitions (2011, 2013, 2015). More than 1500 digital images, they originate from all fields of science and engineering, from the microscopic to the astronomic, and reveal the diverse ways imaging is applied in modern science.
The student will take part in the University Graduate School and Faculty Doctoral Research Development Programme; in addition to these training programmes and the subject specific skills listed above, the student will gain important transferable skills (e.g. presentation skills, scientific writing and employability skills) to aid in future career progression.
Funding Notes
A number of full-time Studentships are available, to candidates with Home fee status in the Faculty of Science and Technology starting in September 2017.
The Studentships on offer are:
• Full Studentship - £16,000 annual stipend and fee waiver
• Fee Studentship – Home fee waiver
References
[1] Edward Fry; Sophie Triantaphillidou; John Jarvis; Gaurav Gupta; Image quality optimization, via application of contextual contrast sensitivity and discrimination functions, Proc. SPIE 9396, Image Quality and System Performance XII, 93960K (January 8, 2015); doi:10.1117/12.2082937.
[2] Elizabeth Allen; Sophie Triantaphillidou; Ralph Jacobson; Perceptibility and acceptability of JPEG 2000 compressed images of various scene types, Proc. SPIE 9016, Image Quality and System Performance XI, 90160W (January 7, 2014); doi:10.1117/12.2042582.
[3] Shinkle, Eugenie (2012) Videogames and the digital sublime. In: Digital cultures and the politics of emotion: feelings, affect and technological change. Palgrave Macmillan, London. ISBN 9780230296589
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