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Grant: Collaborative Research and Development Grants

Carleton University

$65,400.00

Perceptual Scalable Video Coding with Network Managed Content Adaptation in Video Streaming and Conferencing

EF 2010-11

Résumé
In our increasingly wired world, consumers are demanding increased access to both video content and increased abilities for video conferencing. Not only are consumers demanding video downloads and video conferencing, but they want access on a wider range of devices including high definition TVs, computers, portable devices, and cell phones. Consumers also expect a good end-user experience on these devices, irrespective of device, bandwidth limitations, or network impairments. Challenges for video content providers and video conferencing applications include how to serve customers on this broad range of technologies and how to maximize video quality even when network impairments are present. To best meet these demands, content providers and video conferencing applications should look to switching to scalable video coding technologies and content adaptation where content can be tuned on-the-fly towards the display resolution, frame rate, and bandwidth restrictions for each end-user, all in a way that it is done intelligently, ideally from a single video encoding. Our research focuses on developing video codecs that are computationally efficient, can handle a broad range of display resolutions and frame rates, is perceptually tuned to maximize end-user experience, can be adapted to robustly handle time-varying network conditions and impairments, and improved potential for real-time operation at higher resolutions and frame rates. We also aim to develop session mobility and content adaptability based on user profiles and preferences into the scalable video delivery, which will allow for easy switching between devices and networks as well as allow content to be tuned towards the user, such as to handle on-the-fly parental ratings or targeted advertisements for advertisement supported content.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
379610-2008
Name nom
Dansereau, Richard
Department département
Systems and Computer Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2008
Award amount
65400
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
2721
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Multimedia systems and networks
Research subject fr
Systèmes et réseaux multimédias
Partie
2
Nb partie
3
Application title
Perceptual Scalable Video Coding with Network Managed Content Adaptation in Video Streaming and Conferencing
Keyword
NSERC
Application summary
In our increasingly wired world, consumers are demanding increased access to both video content and increased abilities for video conferencing. Not only are consumers demanding video downloads and video conferencing, but they want access on a wider range of devices including high definition TVs, computers, portable devices, and cell phones. Consumers also expect a good end-user experience on these devices, irrespective of device, bandwidth limitations, or network impairments. Challenges for video content providers and video conferencing applications include how to serve customers on this broad range of technologies and how to maximize video quality even when network impairments are present. To best meet these demands, content providers and video conferencing applications should look to switching to scalable video coding technologies and content adaptation where content can be tuned on-the-fly towards the display resolution, frame rate, and bandwidth restrictions for each end-user, all in a way that it is done intelligently, ideally from a single video encoding. Our research focuses on developing video codecs that are computationally efficient, can handle a broad range of display resolutions and frame rates, is perceptually tuned to maximize end-user experience, can be adapted to robustly handle time-varying network conditions and impairments, and improved potential for real-time operation at higher resolutions and frame rates. We also aim to develop session mobility and content adaptability based on user profiles and preferences into the scalable video delivery, which will allow for easy switching between devices and networks as well as allow content to be tuned towards the user, such as to handle on-the-fly parental ratings or targeted advertisements for advertisement supported content.