Imaging Technology Research Group

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A case study in identifying acceptable bitrates for human face recognition tasks

Journal article

Tsifouti, A., Triantaphillidou, S., Larabi, M.C., Bilissi, E. and Psarrou, A. 2015. A case study in identifying acceptable bitrates for human face recognition tasks. Signal Processing: Image Communication . 36, p. 14–28. https://doi.org/10.1016/j.image.2015.05.002

Comparative performance between human and automated face recognition systems, using CCTV imagery, different compression levels and scene parameters

Conference paper

Tsifouti, A., Triantaphillidou, S., Larabi M-C, Bilissi, E. and Psarrou, A. 2015. Comparative performance between human and automated face recognition systems, using CCTV imagery, different compression levels and scene parameters . SPIE Electronic Imaging: Image Quality and System Performance XII. San Fransisco, USA Jan 2015 SPIE. https://doi.org/10.1117/12.2083325

Image quality optimization, via application of contextual contrast sensitivity and discrimination functions

Conference paper

Fry, E., Triantaphillidou, S., Jarvis, J. and Gupta, G. 2015. Image quality optimization, via application of contextual contrast sensitivity and discrimination functions. SPIE Electronic Imaging: Image Quality and System Performance XII. San Fransisco Jan 2015 SPIE. https://doi.org/10.1117/12.2082937

Perceptibility and acceptability of JPEG 2000 compressed images of various scene types

Conference paper

Allen, E., Triantaphillidou, S. and Jacobson, R.E. 2014. Perceptibility and acceptability of JPEG 2000 compressed images of various scene types. SPIE Electronic Imaging: Image Quality and System Performance XI. San Francisco, USA Jan 2014 SPIE. https://doi.org/10.1117/12.2042582

The effects of scene content parameters, compression, and frame rate on the performance of analytics systems

Conference paper

Tsifouti, A., Triantaphillidou, S., Larabi, M.C., Doré, G, Bilissi, E. and Psarrou, A. 2015. The effects of scene content parameters, compression, and frame rate on the performance of analytics systems. SPIE Elecgtronic Imaging: Image Quality and System Performance XII. San Fransisco, USA Jan 2015 SPIE. https://doi.org/10.1117/12.2083426


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