Dr. Mylène C. Q. C. Q. Farias
at University of Brasilia
SPIE Involvement:
Author
Area of Expertise:
image processing , quality of experience , quality metrics , immersive media , biomedical image processing , watermarking
Websites:
Profile Summary

Mylene C.Q. Farias received her B.Sc. degree in electrical engineering from Federal University of Pernambuco (UFPE), Brazil, in 1995 and her M.Sc. degree in electrical engineering from the State University of Campinas (UNICAMP), Brazil, in 1998. She received her Ph.D. in electrical and computer engineering from the University of California Santa Barbara (UCSB), USA, in 2004 for work in no-reference video quality metrics. Dr. Farias has worked as a research engineer at CPqD (Brazil) in video quality assessment and validation of video quality metrics. She has also worked as an intern for Philips Research Laboratories (The Netherlands) in video quality assessment of sharpness algorithms and for Intel Corporation (Phoenix, USA) developing no-reference video quality metrics. Currently, she is an Associate professor in the Department of Electrical Engineering at the University of Brasilia (UnB), where she is a member of the Graduate Program in Informatics and of the Graduate Program on Electronic Systems and Automation Engineering (PGEA). Dr. Farias is a researcher of the GPDS and her current interests include video quality metrics, video processing, multimedia signal processing, watermarking, and visual attention. Dr. Farias is a member of IEEE, the IEEE Signal Processing Society, ACM, and SPIE.
Publications (15)

SPIE Journal Paper | 1 November 2021
Sana Alamgeer, Muhammad Irshad, Mylène C. Q. Farias
JEI, Vol. 30, Issue 06, 063001, (November 2021) https://doi.org/10.1117/12.10.1117/1.JEI.30.6.063001
KEYWORDS: Video, Databases, Image quality, Video compression, Feature extraction, Visualization, Video processing, Optical flow, Neural networks, Molybdenum

SPIE Journal Paper | 26 September 2018
JEI, Vol. 27, Issue 05, 053020, (September 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.5.053020
KEYWORDS: Video, Image quality, Tablets, Molybdenum, Reliability, Steiner quadruple pulse system, Visualization, Image quality standards, Image resolution, Calibration

SPIE Journal Paper | 20 July 2018
JEI, Vol. 27, Issue 04, 043018, (July 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.4.043018
KEYWORDS: Video, Data modeling, Micro unmanned aerial vehicles, Plasma display panels, Error analysis, Statistical analysis, Video compression, Performance modeling, Statistical modeling, Linear filtering

Proceedings Article | 17 March 2015 Paper
Proceedings Volume 9394, 93940Z (2015) https://doi.org/10.1117/12.2083487
KEYWORDS: Video, Visualization, Micro unmanned aerial vehicles, Video compression, Image quality, Eye, Image compression, Video processing, Video coding, Data processing

Proceedings Article | 17 March 2015 Paper
Proceedings Volume 9393, 93930B (2015) https://doi.org/10.1117/12.2083306
KEYWORDS: Video, 3D image processing, Motion measurement, Databases, Image quality, Molybdenum, 3D modeling, Image compression, 3D displays, Motion estimation

Showing 5 of 15 publications
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