Monday January 27, 2020
KEYNOTE: Automotive Camera Image Quality
Session Chair: Luke Cui, Amazon (United States)
8:45 – 9:30 AM
Regency B
This session is jointly sponsored by: Autonomous Vehicles and Machines 2020, and Image Quality and System Performance XVII.
Conference Welcome
AVM-001
LED flicker measurement: Challenges, considerations and updates from IEEE P2020 working group, Brian Deegan, Valeo Vision Systems (Ireland)
Brian Deegan is a senior expert at Valeo Vision Systems. The LED flicker work Deegan is involved with came about as part of the IEEE P2020 working group on Automotive Image Quality standards. One of the challenges facing the industry is the lack of agreed standards for assessing camera image quality performance. Deegan leads the working group specifically covering LED flicker. He holds a BS in computer engineering from the University of Limerick (2004), and an MSc in biomedical engineering from the University of Limerick (2005). Biomedical engineering has already made it’s way into the automotive sector. A good example would be driver monitoring. By analyzing a drivers patterns, facial expressions, eye movements etc, automotive systems can already tell if a driver has become drowsy and provide an alert.
Automotive Camera Image Quality
Session Chair:
Dave Tokic, Algolux (Canada)
9:30 – 10:10 AM
Regency B
This session is jointly sponsored by: Autonomous Vehicles and Machines 2020, and Image Quality and System Performance XVII.
9:30IQSP-018
A new dimension in geometric camera calibration, Dietmar Wueller, Image Engineering GmbH & Co. KG (Germany)
9:50AVM-019
Automotive image quality concepts for the next SAE levels: Color separation probability and contrast detection probability, Marc Geese, Continental AG (Germany)
10:10 – 10:50 AM Coffee Break
Predicting Camera Detection Performance
Session Chair:
Patrick Denny, Valeo Vision Systems (Ireland)
10:50 AM – 12:30 PM
Regency B
This session is jointly sponsored by: Autonomous Vehicles and Machines 2020, Human Vision and Electronic Imaging 2020, and Image Quality and System Performance XVII.
10:50AVM-038
Describing and sampling the LED flicker signal, Robert Sumner, Imatest, LLC (United States)
11:10IQSP-039
Demonstration of a virtual reality driving simulation platform, Mingming Wang and Susan Farnand, Rochester Institute of Technology (United States)
11:30AVM-040
Prediction and fast estimation of contrast detection probability, Robin Jenkin, NVIDIA Corporation (United States)
11:50AVM-041
Object detection using an ideal observer model, Paul Kane and Orit Skorka, ON Semiconductor (United States)
12:10AVM-042
Comparison of detectability index and contrast detection probability (JIST-first), Robin Jenkin, NVIDIA Corporation (United States)
12:30 – 2:00 PM Lunch
PLENARY: Frontiers in Computational Imaging
Session Chairs: Jonathan Phillips, Google Inc. (United States) and Radka Tezaur, Intel Corporation (United States)
2:00 – 3:10 PM
Grand Peninsula D
Imaging the unseen: Taking the first picture of a black hole, Katherine Bouman, California Institute of Technology (United States)
Katherine Bouman is an assistant professor in the Computing and Mathematical Sciences Department at the California Institute of Technology. Before joining Caltech, she was a postdoctoral fellow in the Harvard-Smithsonian Center for Astrophysics. She received her PhD in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT in EECS. Before coming to MIT, she received her bachelor's degree in electrical engineering from the University of Michigan. The focus of her research is on using emerging computational methods to push the boundaries of interdisciplinary imaging.
3:10 – 3:30 PM Coffee Break
Perceptual Image Quality
Session Chairs:
Mohamed Chaker Larabi, Université de Poitiers (France) and Jeffrey Mulligan, NASA Ames Research Center (United States)
3:30 – 4:50 PM
Grand Peninsula A
This session is jointly sponsored by: Human Vision and Electronic Imaging 2020, and Image Quality and System Performance XVII.
3:30IQSP-066
Perceptual quality assessment of enhanced images using a crowd-sourcing framework, Muhammad Irshad1, Alessandro Silva2,1, Sana Alamgeer1, and Mylène Farias1; 1University of Brasilia and 2IFG (Brazil)
3:50IQSP-067
Perceptual image quality assessment for various viewing conditions and display systems, Andrei Chubarau1, Tara Akhavan2, Hyunjin Yoo2, Rafal Mantiuk3, and James Clark1; 1McGill University, 2IRYStec Software Inc. (Canada), and 3University of Cambridge (United Kingdom)
4:10HVEI-068
Improved temporal pooling for perceptual video quality assessment using VMAF, Sophia Batsi and Lisimachos Kondi, University of Ioannina (Greece)
4:30HVEI-069
Quality assessment protocols for omnidirectional video quality evaluation, Ashutosh Singla, Stephan Fremerey, Werner Robitza, and Alexander Raake, Technische Universität Ilmenau (Germany)
5:00 – 6:00 PM All-Conference Welcome Reception
Tuesday January 28, 2020
7:30 – 8:45 AM Women in Electronic Imaging Breakfast (pre-registration required)
Video Quality Experts Group I
Session Chairs:
Kjell Brunnström, RISE Acreo AB (Sweden) and Jeffrey Mulligan, NASA Ames Research Center (United States)
8:50 – 10:10 AM
Grand Peninsula A
This session is jointly sponsored by: Human Vision and Electronic Imaging 2020, and Image Quality and System Performance XVII.
8:50HVEI-090
The Video Quality Experts Group - Current activities and research, Kjell Brunnström1,2 and Margaret Pinson3; 1RISE Acreo AB (Sweden), 2Mid Sweden University (Sweden), and 3National Telecommunications and Information Administration, Institute for Telecommunications Sciences (United States)
9:10HVEI-091
Quality of experience assessment of 360-degree video, Anouk van Kasteren1,2, Kjell Brunnström1,3, John Hedlund1, and Chris Snijders2; 1RISE Research Institutes of Sweden AB (Sweden), 2University of Technology Eindhoven (the Netherlands), and 3Mid Sweden University (Sweden)
9:30HVEI-092
Open software framework for collaborative development of no reference image and video quality metrics, Margaret Pinson1, Philip Corriveau2, Mikolaj Leszczuk3, and Michael Colligan4; 1US Department of Commerce (United States), 2Intel Corporation (United States), 3AGH University of Science and Technology (Poland), and 4Spirent Communications (United States)
9:50HVEI-093
Investigating prediction accuracy of full reference objective video quality measures through the ITS4S dataset, Antonio Servetti, Enrico Masala, and Lohic Fotio Tiotsop, Politecnico di Torino (Italy)
10:00 AM – 7:30 PM Industry Exhibition - Tuesday
10:10 – 10:50 AM Coffee Break
Video Quality Experts Group II
Session Chair:
Kjell Brunnström, RISE Acreo AB (Sweden)
10:50 AM – 12:30 PM
Grand Peninsula A
This session is jointly sponsored by: Human Vision and Electronic Imaging 2020, and Image Quality and System Performance XVII.
10:50HVEI-128
Quality evaluation of 3D objects in mixed reality for different lighting conditions, Jesús Gutiérrez, Toinon Vigier, and Patrick Le Callet, Université de Nantes (France)
11:10HVEI-129
A comparative study to demonstrate the growing divide between 2D and 3D gaze tracking quality, William Blakey1,2, Navid Hajimirza1, and Naeem Ramzan2; 1Lumen Research Limited and 2University of the West of Scotland (United Kingdom)
11:30HVEI-130
Predicting single observer’s votes from objective measures using neural networks, Lohic Fotio Tiotsop1, Tomas Mizdos2, Miroslav Uhrina2, Peter Pocta2, Marcus Barkowsky3, and Enrico Masala1; 1Politecnico di Torino (Italy), 2Zilina University (Slovakia), and 3Deggendorf Institute of Technology (DIT) (Germany)
11:50HVEI-131
A simple model for test subject behavior in subjective experiments, Zhi Li1, Ioannis Katsavounidis2, Christos Bampis1, and Lucjan Janowski3; 1Netflix, Inc. (United States), 2Facebook, Inc. (United States), and 3AGH University of Science and Technology (Poland)
12:10HVEI-132
Characterization of user generated content for perceptually-optimized video compression: Challenges, observations and perspectives, Suiyi Ling1,2, Yoann Baveye1,2, Patrick Le Callet2, Jim Skinner3, and Ioannis Katsavounidis3; 1CAPACITÉS (France), 2Université de Nantes (France), and 3Facebook, Inc. (United States)
12:30 – 2:00 PM Lunch
PLENARY: Automotive Imaging
Session Chairs: Jonathan Phillips, Google Inc. (United States) and Radka Tezaur, Intel Corporation (United States)
2:00 – 3:10 PM
Grand Peninsula D
Imaging in the autonomous vehicle revolution, Gary Hicok, NVIDIA Corporation (United States)
Gary Hicok is senior vice president of hardware development at NVIDIA, and is responsible for Tegra System Engineering, which oversees Shield, Jetson, and DRIVE platforms. Prior to this role, Hicok served as senior vice president of NVIDIA’s Mobile Business Unit. This vertical focused on NVIDIA’s Tegra mobile processor, which was used to power next-generation mobile devices as well as in-car safety and infotainment systems. Before that, Hicok ran NVIDIA’s Core Logic (MCP) Business Unit also as senior vice president. Throughout his tenure with NVIDIA, Hicok has also held a variety of management roles since joining the company in 1999, with responsibilities focused on console gaming and chipset engineering. He holds a BSEE from Arizona State University and has authored 33 issued patents.
3:10 – 3:30 PM Coffee Break
Image Quality Metrics
Session Chair:
Jonathan Phillips, Google Inc. (United States)
3:30 – 5:10 PM
Grand Peninsula A
This session is jointly sponsored by: Human Vision and Electronic Imaging 2020, and Image Quality and System Performance XVII.
3:30IQSP-166
DXOMARK objective video quality measurements, Emilie Baudin1, Francois-Xavier Bucher2, Laurent Chanas1, and Frédéric Guichard1; 1DXOMARK (France) and 2Apple Inc. (United States)
3:50IQSP-167
Analyzing the performance of autoencoder-based objective quality metrics on audio-visual content, Helard Becerra1, Mylène Farias1, and Andrew Hines2; 1University of Brasilia (Brazil) and 2University College Dublin (Ireland)
4:10IQSP-168
No reference video quality assessment with authentic distortions using 3-D deep convolutional neural network, Roger Nieto1, Hernan Dario Benitez Restrepo1, Roger Figueroa Quintero1, and Alan Bovik2; 1Pontificia University Javeriana, Cali (Colombia) and 2The University of Texas at Austin (United States)
4:30IQSP-169
Quality aware feature selection for video object tracking, Roger Nieto1, Carlos Quiroga2, Jose Ruiz-Munoz3, and Hernan Benitez-Restrepo1; 1Pontificia University Javeriana, Cali (Colombia), 2Universidad del Valle (Colombia), and 3University of Florida (United States)
4:50IQSP-170
Studies on the effects of megapixel sensor resolution on displayed image quality and relevant metrics, Sophie Triantaphillidou1, Jan Smejkal1, Edward Fry1, and Chuang Hsin Hung2; 1University of Westminster (United Kingdom) and 2Huawei (China)
5:30 – 7:30 PM Symposium Demonstration Session
Wednesday January 29, 2020
KEYNOTE: Image Capture
Session Chair: Nicolas Bonnier, Apple Inc. (United States)
8:50 – 9:50 AM
Harbour A/B
IQSP-190
Camera vs smartphone: How electronic imaging changed the game, Frédéric Guichard, DXOMARK (France)
Frédéric Guichard is the chief technology officer at DxOMark Image Labs. He brings an extensive scientific and technical expertise in imaging, cameras, image processing and computer vision. Prior to co-founding DxO Labs he was the chief scientist at Vision IQ and prior to that a researcher at Inrets. He did his postdoc internship at Cognitech, after completing his MS and PhD in mathematics at Ecole normale supérieure, 1989 – 1993, and his PhD in applied mathematics from Université Paris Dauphine, 1992 – 1994. Guichard earned his engineering degree from École des Ponts ParisTech, 1994 – 1997.
Image Capture Performance I
Session Chair:
Peter Burns, Burns Digital Imaging (United States)
9:50 – 10:10 AM
Harbour A/B
IQSP-214
Comparing common still image quality metrics in recent High Dynamic Range (HDR) and Wide Color Gamut (WCG) representations, Anustup Choudhury and Scott Daly, Dolby Laboratories (United States)
10:00 AM – 3:30 PM Industry Exhibition - Wednesday
10:10 – 10:50 AM Coffee Break
Image Capture Performance II
Session Chair:
Sophie Triantaphillidou, University of Westminster (United Kingdom)
10:50 AM – 12:10 PM
Harbour A/B
10:50IQSP-239
Validation of modulation transfer functions and noise power spectra from natural scenes (JIST-first), Edward Fry1, Sophie Triantaphillidou1, Robin Jenkin2, and Ralph Jacobson1; 1University of Westminster (United Kingdom) and 2NVIDIA Corporation (United States)
11:10IQSP-240
Application of ISO standard methods to optical design for image capture, Peter Burns1, Don Williams2, Heidi Hall3, John Griffith3, and Scott Cahall3; 1Burns Digital Imaging, 2Image Science Associates, and 3Moondog Optics (United States)
11:30IQSP-241
Camera system performance derived from natural scenes, Oliver van Zwanenberg, Sophie Triantaphillidou, Robin Jenkin, and Alexandra Psarrou, University of Westminster (United Kingdom)
11:50IQSP-242
Correcting misleading image quality measurements, Norman Koren, Imatest LLC (United States)
12:30 – 2:00 PM Lunch
PLENARY: VR/AR Future Technology
Session Chairs: Jonathan Phillips, Google Inc. (United States) and Radka Tezaur, Intel Corporation (United States)
2:00 – 3:10 PM
Grand Peninsula D
Quality screen time: Leveraging computational displays for spatial computing, Douglas Lanman, Facebook Reality Labs (United States)
Douglas Lanman is the director of Display Systems Research at Facebook Reality Labs, where he leads investigations into advanced display and imaging technologies for augmented and virtual reality. His prior research has focused on head-mounted displays, glasses-free 3D displays, light-field cameras, and active illumination for 3D reconstruction and interaction. He received a BS in Applied Physics with Honors from Caltech in 2002 and his MS and PhD in Electrical Engineering from Brown University in 2006 and 2010, respectively. He was a senior research scientist at NVIDIA Research from 2012 to 2014, a postdoctoral associate at the MIT Media Lab from 2010 to 2012, and an assistant research staff member at MIT Lincoln Laboratory from 2002 to 2005. His most recent work has focused on developing the Oculus Half Dome: an eye-tracked, wide-field-of-view varifocal HMD with AI-driven rendering.
3:10 – 3:30 PM Coffee Break
Image Quality of Omnidirectional Environnement
Session Chair:
Stuart Perry, University of Technology Sydney (Australia)
3:30 – 5:10 PM
Harbour A/B
3:30IQSP-284
Subjective and viewport-based objective quality assessment of 360-degree videos, Roberto Azevedo1, Neil Birkbeck2, Ivan Janatra2, Balu Adsumilli2, and Pascal Frossard1; 1Ecole Polytechnique Fédérale de Lausanne (Switzerland) and 2YouTube (United States)
3:50IQSP-285
Statistical characterization of tile decoding time of HEVC-encoded 360° video, Henrique Garcia1, Mylène Farias1, Ravi Prakash2, and Marcelo Carvalho1; 1University of Brasilia (Brazil) and 2The University of Texas at Dallas (United States)
4:10IQSP-286
Complexity optimization for the upcoming versatile video coding standard, Sami Jaballah and Mohamed Chaker Larabi, Université de Poitiers (France)
4:30IQSP-287
On the improvement of 2D quality metrics for the assessment of 360-deg images, Aberrezzaq Sendjasni and Mohamed Chaker Larabi, Université de Poitiers (France)
4:50IQSP-288
The cone model: Recognizing gaze uncertainty in virtual environments, Anjali Jogeshwar, Mingming Wang, Gabriel Diaz, Susan Farnand, and Jeff Pelz, Rochester Institute of Technology (United States)
Image Quality and System Performance XVII Interactive Papers Session
5:30 – 7:00 PM
Sequoia
The following works will be presented at the EI 2020 Symposium Interactive Papers Session.
IQSP-314
A comprehensive system for analyzing the presence of print quality defects, Runzhe Zhang1, Yi Yang1, Eric Maggard2, Yousun Bang3, Minki Cho3, and Jan Allebach1; 1Purdue University (United States), 2HP Inc. (United States), and 3HP Printing Korea Co. Ltd. (Republic of Korea)
IQSP-315
DNN-based ISP parameter inference algorithm for automatic image quality optimization, Younghoon Kim, Jungmin Lee, Sung-su Kim, Cheoljong Yang, TaeHyung Kim, and JoonSeo Yim, Samsung Electronics (Republic of Korea)
IQSP-316
Effective ISP tuning framework based on user preference feedback, Cheoljong Yang, Jinhyun Kim, Jungmin Lee, Younghoon Kim, Sung-su Kim, TaeHyung Kim, and JoonSeo Yim, Samsung Electronics (Republic of Korea)
IQSP-317
Evaluation of optical performance characteristics of endoscopes, Quanzeng Wang and Wei-Chung Cheng, US Food and Drug Administration (United States)
IQSP-319
Prediction of performance of 2D DCT-based filter and adaptive selection of its parameter, Oleksii Rubel1, Sergiy Abramov1, Vladimir Lukin1, and Karen Egiazarian2; 1National Aerospace University (Ukraine) and 2Tampere University (Finland)
IQSP-320
Quantification method for video motion correction performance in mobile image sensor, Sungho Cha, Jaehyuk Hur, Sung-su Kim, TaeHyung Kim, and JoonSeo Yim, Samsung Electronics (Republic of Korea)
IQSP-321
Region of interest extraction for image quality assessment, Runzhe Zhang1, Eric Maggard2, Yousun Bang3, Minki Cho3, and Jan Allebach1; 1Purdue University (United States), 2HP Inc. (United States), and 3HP Printing Korea Co. Ltd. (Republic of Korea)
IQSP-322
Relation between image quality and resolution - Part I, Zhenhua Hu1, Litao Hu1, Peter Bauer2, Todd Harris2, and Jan Allebach1; 1Purdue University and 2HP Inc. (United States)
IQSP-323
Relation between image quality and resolution - Part II, Litao Hu1, Zhenhua Hu1, Jan Allebach1, Peter Bauer2, and Todd Harris2; 1Purdue University and 2HP Inc. (United States)
5:30 – 7:00 PM EI 2020 Symposium Interactive Posters Session
5:30 – 7:00 PM Meet the Future: A Showcase of Student and Young Professionals Research
Thursday January 30, 2020
Image Capture Performance III
Session Chair:
Mylène Farias, University of Brasilia (Brazil)
8:50 – 10:10 AM
Harbour A/B
8:50IQSP-345
Noise power spectrum scene-dependency in simulated image capture systems, Edward Fry1, Sophie Triantaphillidou1, Robin Jenkin1,2, Ralph Jacobson1, and John Jarvis1; 1University of Westminster (United Kingdom) and 2NVIDIA Corporation (United States)
9:10IQSP-346
Verification of long-range MTF testing through intermediary optics, Alexander Schwartz, Sarthak Tandon, and Jackson Knappen, Imatest, LLC (United States)
9:30IQSP-347
Measuring camera Shannon information capacity with a Siemens star image, Norman Koren1 and Robin Jenkin2; 1Imatest LLC and 2NVIDIA Corporation (United States)
9:50IQSP-348
Scene-and-process-dependent spatial image quality metrics (JIST-first), Edward Fry1, Sophie Triantaphillidou1, Robin Jenkin2, and John Jarvis1; 1University of Westminster (United Kingdom) and 2NVIDIA Corporation (United States)
10:10 – 10:50 AM Coffee Break
System Performance
Session Chair:
Jukka Häkkinen, University of Helsinki (Finland)
10:50 AM – 12:30 PM
Harbour A/B
10:50IQSP-370
Depth map quality evaluation for photographic applications, Eloi Zalczer1, François-Xavier Thomas1, Laurent Chanas1, Gabriele Facciolo2, and Frédéric Guichard1; 1DXOMARK and 2ENS Cachan (France)
11:10IQSP-371
Prediction of Lee filter performance for Sentinel-1 SAR images, Oleksii Rubel1, Vladimir Lukin1, Andrii Rubel1, and Karen Egiazarian2; 1National Aerospace University (Ukraine) and 2Tampere University (Finland)
11:30IQSP-372
Evaluating whole-slide imaging viewers used in digital pathology, Wei-Chung Cheng1, Samuel Lam2, Qi Gong1, and Paul Lemaillet1; 1US Food and Drug Administration and 2University of Maryland (United States)
11:50IQSP-373
Ink quality ruler experiments and print uniformity predictor, Yi Yang1, Utpal Sarkar2, Isabel Borrell2, and Jan Allebach1; 1Purdue University (United States) and 2HP Inc. (Spain)