Grant: Discovery Grants Program - Individual
University of Waterloo
$152,000.00
End-to-End Perceptual Quality-Of-Experience Measurement and Optimization to Reshape Modern Video Communication Systems
FY 2022-23
Summary
With the arrival of the “era of experience”, enriching and enhancing perceptual experience in consuming digital video content delivered to our TVs, tablets and smartphones has become a central goal of modern video distribution systems. However, recent surveys indicated that the poor video quality-of-experience (QoE) of end users has become a major threat to the video service ecosystem. This presents an urgent and pervasive research challenge, where video distributors require effective mechanisms that can not only help gain instantaneous awareness of the QoE of individual consumers, but also perform strategic optimizations to improve visual QoE in a cost-effective way. The challenge becomes even more pronounced with the growing popularity of novel media format such as ultra high-definition, high dynamic range, wide color gamut, and high frame rate videos, as well as videos created for augmented reality and virtue reality viewing experiences.The long-term research objective of this project is to develop theories and critical technologies for unified end-to-end visual QoE measurement, optimization and intelligence solutions that, if successful, will reshape how videos are distributed through global multimedia distribution networks and meanwhile improve everyone's everyday viewing experience. Specifically, we will develop a series of objective QoE measurement algorithms that produce consistent QoE measures in real-time for various media content types. We will use these novel QoE measures to optimize video distribution system designs, focusing on QoE-driven video coding, streaming and quality enhancement. We will also develop deep learning technologies for QoE assessment and QoE-driven optimizations. Subjective QoE testing will be conducted to validate and improve the performance of the algorithms being developed.The project will be carried out by a world leading research team that has a strong track record of making outstanding research contributions, evidenced by numerous prestigious awards and recognitions as well as publications in top journals and conferences with top citations. The team also has extensive experience collaborating with leading industrial partners and organizations.This project will help strengthen Canada's reputation, impact and global leadership in the field of image processing and multimedia communications. It will also help produce a significant number of HQPs who are expected to join Canada's workforce in academic, industrial and government R&D organizations. The developed technologies will be transferred to Canadian industrial partners' products and services. As such, Canadian companies will benefit significantly for increased revenue and improved competitiveness in the global market, and meanwhile create new jobs in the information technology sector. Thus it has the potential to make a lasting impact on Canada's economy.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-04712
Name nom
Wang, Zhou
Department département
Electrical & Computer Engineering - Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
152000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
End-to-End Perceptual Quality-Of-Experience Measurement and Optimization to Reshape Modern Video Communication Systems
Application summary
With the arrival of the “era of experience”, enriching and enhancing perceptual experience in consuming digital video content delivered to our TVs, tablets and smartphones has become a central goal of modern video distribution systems. However, recent surveys indicated that the poor video quality-of-experience (QoE) of end users has become a major threat to the video service ecosystem. This presents an urgent and pervasive research challenge, where video distributors require effective mechanisms that can not only help gain instantaneous awareness of the QoE of individual consumers, but also perform strategic optimizations to improve visual QoE in a cost-effective way. The challenge becomes even more pronounced with the growing popularity of novel media format such as ultra high-definition, high dynamic range, wide color gamut, and high frame rate videos, as well as videos created for augmented reality and virtue reality viewing experiences.The long-term research objective of this project is to develop theories and critical technologies for unified end-to-end visual QoE measurement, optimization and intelligence solutions that, if successful, will reshape how videos are distributed through global multimedia distribution networks and meanwhile improve everyone's everyday viewing experience. Specifically, we will develop a series of objective QoE measurement algorithms that produce consistent QoE measures in real-time for various media content types. We will use these novel QoE measures to optimize video distribution system designs, focusing on QoE-driven video coding, streaming and quality enhancement. We will also develop deep learning technologies for QoE assessment and QoE-driven optimizations. Subjective QoE testing will be conducted to validate and improve the performance of the algorithms being developed.The project will be carried out by a world leading research team that has a strong track record of making outstanding research contributions, evidenced by numerous prestigious awards and recognitions as well as publications in top journals and conferences with top citations. The team also has extensive experience collaborating with leading industrial partners and organizations.This project will help strengthen Canada's reputation, impact and global leadership in the field of image processing and multimedia communications. It will also help produce a significant number of HQPs who are expected to join Canada's workforce in academic, industrial and government R&D organizations. The developed technologies will be transferred to Canadian industrial partners' products and services. As such, Canadian companies will benefit significantly for increased revenue and improved competitiveness in the global market, and meanwhile create new jobs in the information technology sector. Thus it has the potential to make a lasting impact on Canada's economy.