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Jorge Caviedes

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Research Professor (FSC)
Faculty, TEMPE Campus, Mailcode 8809
Biography

Jorge Caviedes (SM’09) received the B.E. degree in electrical engineering from the Universidad de Los Andes in 1979, and the M.S. and Ph.D. degrees in biomedical engineering from Vanderbilt University, in 1982 and 1984, respectively. He has been Principal Scientist at Philips Research Labs and Principal Engineer at Intel Corporation.

As Principal Engineer at Intel Corporation he led the team that developed the video processing pipe for 4 generations of multi-media SoCs. The algorithms include noise reduction, post-processing, enhancement, motion compensated de-interlacing and frame-rate conversion, color/contrast enhancement, 4K up-conversion, 3D video processing, as well as adaptive processing driven by no-reference quality metrics. He also developed test content and methodologies for visual quality evaluation of individual algorithms and full pipe systems. His team supported development on platforms including hardware, software, and GPU.

Since 2013, he has been devoted to Research and development on computer vision algorithms including image pre-processing, skin segmentation, signal quality and structural complexity metrics for adaptive control and performance optimization of CV task; plus depth processing and view synthesis for immersive media communication.

Dr. Caviedes has served as chair of the annual International Workshop on Video Processing and Quality Metrics since 2005. Has served in Ph.D. thesis committees in universities in the US (ASU, UCSB) and Europe (Delft University, Universite de Sofia-Antipolis). He was co-editor for special issue of the EURASIP journal Image Communication, on "Objective Video Quality Metrics," and serves as technical reviewer for the Journal of Biomedical Informatics, IEEE Transactions on Image Processing, and IEEE Signal Processing Letters, co-chaired the ICCE 2008 special session on Advanced Applications of Objective Quality Metrics and Methods. His paper “Towards the development of a conceptual distance metric for the UMLS” has been rated most cited journal article in the BioMedLib since 2005. He was awarded Intel DHG Divisional Recognition Award in 2008, and was Juror for the 2015 CES Innovations Awards category. He was professor of Medical Informatics at the University of the Andes in 1998 under a Fulbright Scholar Award. He has 48 technical publications and holds 40 issued US patents, and 40 others pending.

Presently, he teaches Digital Video Processing and Multimedia Information Systems in the School of Computing, Informatics and Decision Systems Engineering at Arizona State University

Research Interests

Digital image/video processing, computer vision, image and video quality metrics, media interaction and immersive user experience, adaptive processing, intelligent control systems, and wearable sensors for therapeutic exercise.

Fall 2019
Course NumberCourse Title
CEN 580Practicum
Fall 2018
Course NumberCourse Title
CEN 580Practicum
Summer 2018
Course NumberCourse Title
CSE 408Multimedia Information Systems
Spring 2018
Course NumberCourse Title
CSE 408Multimedia Information Systems
CSE 509Digital Video Processing
Fall 2017
Course NumberCourse Title
CSE 408Multimedia Information Systems
Summer 2017
Course NumberCourse Title
CSE 408Multimedia Information Systems
Spring 2017
Course NumberCourse Title
CSE 408Multimedia Information Systems
Fall 2016
Course NumberCourse Title
CSE 509Digital Video Processing