G
Gerald Schaefer
Researcher at Loughborough University
Publications - 474
Citations - 8133
Gerald Schaefer is an academic researcher from Loughborough University. The author has contributed to research in topics: Image retrieval & Automatic image annotation. The author has an hindex of 35, co-authored 465 publications receiving 6835 citations. Previous affiliations of Gerald Schaefer include University of Manitoba & University of East Anglia.
Papers
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Journal ArticleDOI
Optimal image colour extraction by differential evolution
Gerald Schaefer,Lars Nolle +1 more
TL;DR: It is shown that differential evolution can be effectively employed as a method for deriving the entries in the map and this hybrid approach is shown to outperform various commonly used colour quantisation algorithms on a set of standard images.
Journal ArticleDOI
A neural refinement network for single image view synthesis
TL;DR: In this article , a Neural Image Refinement Network (NIRN) is proposed to generate both depth and colour images for the target view in an end-to-end manner.
Book ChapterDOI
UCID-RAW – A Colour Image Database in Raw Format
TL;DR: In this article, the authors present a method for benchmarking and evaluation of multimedia and imaging applications and algorithms using publicly available test datasets, which is often hindered by the fact that there are few test datasets that are publicly available.
Proceedings ArticleDOI
Intuitive mobile image browsing on a hexagonal lattice
TL;DR: Following miniaturisation of cameras and their integration into mobile devices such as smartphones combined with the intensive use of the latter, it is likely that in the near future the majority of digital images will be captured using such devices rather than using dedicated cameras.
Proceedings ArticleDOI
Weighted fuzzy classification with integrated learning method for medical diagnosis
TL;DR: A pattern classification system for medical diagnosis that is based on fuzzy logic and utilises weighted training patterns that provides improved classification performance is introduced.