Professor at TED University Computer Engineering Department
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3D video assessment with just noticeable difference in depth evaluation
DVSX De Silva, WAC Fernando, G Nur, E Ekmekcioglu, ST Worrall
2010 IEEE International Conference on Image Processing, 4013-4016, 2010
Advanced adaptation techniques for improved video perception
G Nur, HK Arachchi, S Dogan, AM Kondoz
IEEE Transactions on Circuits and Systems for Video Technology 22 (2), 225-240, 2011
Impact of depth map spatial resolution on 3D video quality and depth perception
G Nur, S Dogan, HK Arachchi, AM Kondoz
2010 3DTV-Conference: The True Vision-Capture, Transmission and Display of …, 2010
A spatiotemporal no-reference video quality assessment model.
B Konuk, E Zerman, G Nur, GB Akar
ICIP, 54-58, 2013
A no reference depth perception assessment metric for 3D video
G Nur Yilmaz
Multimedia Tools and Applications 74, 6937-6950, 2015
An abstraction based reduced reference depth perception metric for 3D video
G Nur, GB Akar
2012 19th IEEE International Conference on Image Processing, 625-628, 2012
Assessing the effects of ambient illumination change in usage environment on 3D video perception for user centric media access and consumption
G Nur, S Dogan, H Kodikara Arachchi, AM Kondoz
User Centric Media: Second International ICST Conference, UCMedia 2010 …, 2012
QoE of 3D media delivery systems
D De Silva, G Nur, E Ekmekcioglu, A Kondoz
Media Networks: Architectures, Applications, and Standards, CRC Press Taylor …, 2012
Sensitivity of the HVS for binocular disparity cue in 3D displays under different ambient illumination conditions
G Nur, V De Silva, HK Arachchi, A Kondoz, W Fernando, ...
2012 IEEE International Conference on Consumer Electronics (ICCE), 459-460, 2012
Seamless video access for mobile devices by content-aware utility-based adaptation
G Nur, HK Arachchi, S Dogan, AM Kondoz
Multimedia tools and applications 70, 689-719, 2014
A depth perception evaluation metric for immersive 3d video services
GN Yilmaz
2017 3DTV Conference: The True Vision-Capture, Transmission and Display of …, 2017
Blind video quality assessment via spatiotemporal statistical analysis of adaptive cube size 3D‐DCT coefficients
E Cemiloglu, GN Yilmaz
IET Image Processing 14 (5), 845-852, 2020
Ambient illumination as a context for video bit rate adaptation decision taking
G Nur, HK Arachchi, S Dogan, AM Kondoz
IEEE transactions on circuits and systems for video technology 20 (12), 1887 …, 2010
A new vegetation index in short-wave infrared region of electromagnetic spectrum
Y Cimtay, B Özbay, G Yilmaz, E Bozdemir
IEEE Access 9, 148535-148545, 2021
Context and content based scalable video adaptation for ubiquitous multimedia communication services
G Nur Yilmaz
Multimedia Tools and Applications 80 (5), 7987-8013, 2021
A bit rate adaptation model for 3D video
G Nur Yilmaz
Multidimensional Systems and Signal Processing 27, 201-215, 2016
Depth perception prediction of 3D video QoE for future internet services
GN Yilmaz
2018 International Conference on Information Networking (ICOIN), 146-149, 2018
A parametric video quality model based on source and network characteristics
E Zerman, B Konuk, G Nur, GB Akar
2014 IEEE International Conference on Image Processing (ICIP), 595-599, 2014
Reduced Reference 3D Video Quality Assessment Based on Cartoon Effect
G Nur, GB Akar, H Gokmen
eBook and USB produced by Sigma Orionis, 65, 2012
Evaluation of quality scalability layer selection for bit rate adaptation of scalable video content
G Nur, HK Arachchi, S Dogan, AM Kondoz
2009 10th Workshop on Image Analysis for Multimedia Interactive Services …, 2009
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