Jing LI, PhD

Linkedin page: https://www.linkedin.com/in/jing-li-33472b2a/

Publications (Google Scholar): https://scholar.google.fr/citations?user=b076OYAAAAAJ&hl=en

Email: jing.li.univ@gmail.com

Ohttps://orcid.org/0000-0001-8645-9709

An output-driven researcher with 12 years of cross-disciplinary experience in

Human Visual System, Stereo Vision, Image Processing, Image/Video quality assessment, Quality of Experience (QoE) in immersive multimedia, Subjective methodology, Active Learning, deep learning

  • 4 international standards (IEEE and ITU)

  • A proven track record of research evidenced by publications in high profile conferences and journals

  • Good knowledge in human visual system, particularly stereo vision and depth perception

  • Expertise in active learning, information retrieval, preference aggregation

  • Extensive experience in subjective experimental design, Boosting Pair Comparison, subjective evaluation on visual discomfort, QoE (Quality of Experience), PoE (Preference of Experience) in 3DTV, UltraHD TV, psychophysical experimentation (EEG, EMG) and data analysis

  • Strong knowledge in image/video processing, computer vision, machine learning, neural network

  • Proficiency experience in developing algorithms of perceptual image/video quality metrics, objective visual discomfort model in 3DTV, visual attention model for 3D video

  • Contributor of the standards IEEE P3333.1 (Standard for the Quality Assessment of Three Dimensional (3D) Displays, 3D Contents and 3D Devices based on Human Factors.)

  • Co-author of ITU-T Rec. P.914, P.915, P.916 ( ITU standards for subjective assessment methodology, visual fatigue measurement and display requirements for 3DTV)

  • Proficiency in Matlab, Python, Java, C/C++ programming

Education

2010 – 2013 Ph.D. in Signal Processing and Information Technology, University of Nantes, France.

Thesis: Methods for assessment and prediction of QoE, preference and visual discomfort in multimedia application with focus on S-3DTV

Lab: IRCCyN/IVC

Advisors: Patrick LE CALLET, Marcus BARKOWSKY

2007 - 2010 Master in Pattern Recognition and Intelligent System, Xidian university, Shannxi, China.

Thesis: Image and video quality assessment based on Human Visual System

Lab: VIPSL (Video & Image Processing System Lab)

Advisor: Xinbo GAO

2002 – 2006 Bachelor in Electronic Information Engineering, Xi'an University of Technology, Shaanxi, China.

Experience

2019.7 - Now: Senior Staff Algorithm Engineer, Alibaba Group, Beijing, China

Lead of Moku Lab (Youku AI team), including four research directions:

  • Video processing algorithms

  • Computer Vision

  • 3D vision

  • Computer Graphics

2014.3 - 2019.7: Researcher, LS2N Lab, France

Project with Netflix, U.S. (Won Emmy Award for Technology and Engineering 2021)

  • Acceptance/Annoyance quantification for streaming video quality

  • Deep Learning/CNN for video quality assessment

  • Active Learning for ranking/Pair Comparison

  • Information retrieval from individual subject's data

Previous: Project UltraHD-4U, Europe

    • Development of subjective evaluation methodology for the Quality of Experience of UHD TV

  • Preparation the Ultra-HD video dataset for evaluation

  • Design of the experiment for QoE evaluation on Ultra-HD TV

  • Study on the performances of different up-scaling algorithms from HD to UHD video

2014.9 – 2016.8 Assistant Professor (ATER), University of Nantes, France.

2014.9 Visiting Postdoctoral Researcher, Nanyang Technological University, Singapore.

  • France-Singapore Merlion project "Resourceful Exploitation of Visual Attention for Media Processing " with Nanyang Technological University, Singapore

2010.10 - 2013.12 Ph.D. student

European project “JEDI-Just Explore DImension” (ITEA GOLD award 2012)

  • Development of a reliable subjective evaluation methodology for QoE in 3DTV

  • Investigation on the statistic tools for the analysis of Pair Comparison experimental results.

  • Mathematical analysing and validation on the proposed novel Pair comparison methodology.

  • Study on the influence factor of QoE in 3DTV, such as display technology, test environment, human factor etc.

  • Investigation on the performance of different subjective evaluation methods on QoE/visual discomfort in 3DTV

French National Research Agency (ANR) project “PERSEE - Perceptual Scheme for 2D and 3D video coding”

  • Psychophysical study on the influence of 3D motion (planar motion and in-depth motion) on visual discomfort in 3DTV

  • Subjective experimentation design of a reliable evaluation on visual discomfort

  • Development of subjective assessment methodology for visual discomfort in 3D

  • Development of an objective visual discomfort prediction model

  • Psychophysical study on the relationship between visual discomfort/QoE/emotion and EMG/eye blinking signals

Cross-lab study on "Preference of Experience (PoE) in 3DTV", Qualinet study group

  • Study on the influence of display technology and test environment on observer's preference of viewing experiences in 3DTV

  • Experimental design and data analysis for the evaluation of PoE in 3DTV

  • Lead the collaboration of study groups from Brno University of Technology, Telecom ParisTech, Aalto University School of Science and AGH-University of Science and Technology.

2007.9 - 2010.4 Master student

  • Research on the image/video quality assessment metrics based on human visual system

  • Developed an NR image quality metric based on Directional Discrete Cosine Transform (DDCT)

  • Involved in the optimisation of a pooling strategy for the temporal effect of a video quality metric

Project: Food security inspection system, Inspex, Finland

  • Development of an algorithm for detecting the foreign body of the food inside the packages

Project: Paper roll mark detection, SR-Instruments, Finland

  • Development of an algorithm for the detection of the roll mark on the surface of the paper

Invited talks

  • 2018.11 "Active sampling strategy for pairwise preference aggregation", Netflix, U.S

  • 2018.11 "Direct way of measuring Quality of Experience", "Machine learning in QoE", "Acceptability/Annoyance measurement", for ITN (The Innovative Training Networks) Marie-Curie Training, France

  • 2017.12 "Quality of Experience in Immersive Multimedia: Challenges, Methods and Perspectives", Télécom ParisTech, France

  • 2017.5 "Subjective assessment methodology for multi-dimensional viewing experience", South China University of Technology, China

  • 2014.9 "Subjective assessment methodology for QoE in 3DTV", Nanyang Technological University, Singapore

  • 2013.12 "Methods for assessment and prediction of QoE, preference and visual discomfort in multimedia application with focus on S-3DTV", INSA de Rennes, France

  • 2012.12 "Visual discomfort assessment in 3DTV", Northwestern Polytechnique University, China

  • 2012.12 "The advanced multimedia technology: video coding, evaluation of QoE", South China University of Technology, China

Activities

- VQEG (Video Quality Experts Group) member:

  • Take in charge of the design and construction of a ground truth database for subjective evaluation methodologies on 3D QoE (VQEG GroTru3DQoE database), the participating labs are from Korea, Spain, Italy, USA, France, Germany and UK.

  • Take in charge of the design of the subjective test plan for the analysis of frame compatible 3D video format representations (In collaboration with the DVB consortium).

  • Co-author of the ITU standards for subjective assessment methodology, visual fatigue measurement and display requirements for 3DTV (ITU-T Rec. P.914, P.915 and P.916).

  • My proposed subjective evaluation methodologies Adaptive Rectangular Design (ARD) and Optimal Rectangular Design(ORD) have been adopted by ITU-T Rec. P.915 (https://www.itu.int/rec/T-REC-P.915/en).

- IEEE P3333.1 Standard member:

  • Co-author of the IEEE P3333.1.1 and IEEE P3333.1.2

    • My proposed subjective evaluation methodologies Adaptive Rectangular Design (ARD) and Optimal Rectangular Design(ORD) have been adopted by IEEE P3333.1.1 - IEEE Standard for Quality of Experience (QoE) and Visual-Comfort Assessments of Three-Dimensional (3D) Contents Based on Psychophysical Studies (http://ieeexplore.ieee.org/document/7154377/)

- Qualinet member:

  • Psychophysical study on the relationship between EMG signal and visual discomfort/fatigue in 3D.

  • Cross-lab study on the influence factors (such as test environment, display technology, display size, human factors etc.) on Quality of Experience in 3DTV

Services

  • Workshop organizer, 1st and 2nd QoEVMA workshop on ACM MM.

  • Organizer, JSTSP special issue "“Learning-Based Quality Prediction for Advanced Visual Media” and "Signal Processing for XR Communications and Systems"

  • TPC member of Packet Video Workshop 2019 (https://2019.packet.video/organization/)

2010 – Now Reviewer for academic journals and conferences

  • IEEE Transactions on Image Processing (TIP)

  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

  • IEEE Transactions on Broadcasting

  • IEEE Journal of Selected Topics on Signal Processing (JSTSP)

  • Journal of Sensors

  • SPIE Journal of Electronic Imaging (JEI)

  • EURASIP Journal on Image and Video Processing

  • European Conference on Networks & Communications (EUCNC 2015)

  • 7th International Conference on Wireless Communications and Signal Processing (WCSP 2015)

  • IEEE Visual Communications and Image Processing (VCIP) 2013

  • IEEE IVMSP Workshop: 3D Image/Video Technologies and Applications 2013

  • Asia-Pacific Signal and Information Processing Association (APSIPA) 2013

Teachings

  • For undergraduate students: C2i (Le certificat informatique et internet), Computer basics, C++, Database, Computer architecture, Operating system

  • For engineer students: Database, Computer network, Multimedia signal processing, JAVA, Data and multimedia system, 3D audio and video

  • For master students: Multimedia communication

Awards and Certifications

  • 2015 Qualification of Associate Professor in information engineering, automation and signal processing, France

  • 2009 Excellent student leadership, Xidian University, China

  • 2008 Second prize scholarship, Xidian University, China

  • 2005 Second prize in NECCS(National English Competition for College Students), China

  • 2002-2005 First class scholarship, Xi'an University of Technology, China

Languages

  • English (Full professional proficiency)

  • French (Limited working proficiency)

  • Chinese (Native speaker)

Publications

see https://scholar.google.fr/citations?user=b076OYAAAAAJ&hl=en

or https://sites.google.com/site/jingliepwang/home/publications