Prof. Nasser Kehtarnavaz
at Univ of Texas at Dallas
SPIE Involvement:
Fellow status | Conference Chair | Editor | Author | Instructor
Publications (57)

SPIE Conference Volume | May 31, 2017

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10223, Real-Time Image and Video Processing 2017
KEYWORDS: Infrared cameras, Infrared sensors, Image fusion, Statistical analysis, Cameras, Sensors, Feature extraction, Video processing, Human-computer interaction, Error control coding, Sensor technology, 3D image processing, Data fusion

SPIE Conference Volume | June 6, 2016

PROCEEDINGS ARTICLE | April 29, 2016
Proc. SPIE. 9897, Real-Time Image and Video Processing 2016
KEYWORDS: Analytics, Optical filters, Anisotropic filtering, 3D image enhancement, Visualization, Cameras, Image processing, Video, Denoising, Image restoration, Feature extraction, Video surveillance, Surveillance, Gaussian filters, Image filtering, Image enhancement, Image enhancement, Human-computer interaction, Image denoising, 3D image processing

SPIE Conference Volume | March 16, 2015

PROCEEDINGS ARTICLE | February 27, 2015
Proc. SPIE. 9400, Real-Time Image and Video Processing 2015
KEYWORDS: Signal to noise ratio, Video, Computer programming, Computer simulations, Video surveillance, Spatial resolution, Multimedia, Standards development, Video coding, Scalable video coding

Showing 5 of 57 publications
Conference Committee Involvement (18)
Real-Time Image and Video Processing 2018
16 April 2018 | Orlando, Florida, United States
Real-Time Image and Video Processing 2017
10 April 2017 | Anaheim, California, United States
Real-Time Image and Video Processing
7 April 2016 | Brussels, Belgium
Real-Time Image and Video Processing 2015
10 February 2015 | San Francisco, California, United States
Real-Time Image and Video Processing
17 April 2014 | Brussels, Belgium
Showing 5 of 18 published special sections
Course Instructor
SC809: Real-Time Image and Video Processing
The course provides a much-needed treatment on the implementation aspects of real-time image and video processing systems. It brings together in one place the guidelines, strategies and methodologies for taking an image or video processing algorithm from a research environment to real-time implementation on a resource constrained hardware platform. Carefully selected, relevant examples from the literature will be presented to illustrate the concepts. The participants will be introduced to a wide variety of strategies and tools which they can then use in designing a real-time image or video processing system of interest.
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