Grant: Collaborative Research and Development Grants
École de technologie supérieure
$74,895.00
Novel video coding, transcoding and multicoding technologies applied to H.264 and HEVC
FY 2016-17
Summary
Within the next few years, a convergence of wireless and wired audio-visual services is expected, and, at the same time, phenomenal growth in the number of mobile video and IPTV users. These services will represent an important source of revenue for their operators and providers, and video coding and transcoding will play a key role in these and other services to enable them to function with heterogeneous terminals and networks. However, the growing popularity of video is putting heavy and growing pressure on our information technology (IT) infrastructures, in terms of computational complexity, bandwidth and storage requirements. This project will address these problems by investigating novel technologies applied to H.264 and HEVC in two video research areas. In the first research area, we will work towards improving the visual quality of videos: perceptual distortion rate optimization methods based on novel low-complexity high-accuracy visual quality metrics, near-optimal frame level video coding parameter estimation using machine learning, and a rate control algorithm (based on recent distortion models) giving consistent frame-to-frame quality. In the second area, we will work towards reducing the computational complexity of video coding and transcoding operations: efficient video transcoding exploiting the source's motion vectors, coding modes and residual information for H.264 to HEVC transcoding, novel multi-stream video encoder/transcoder based on motion fields and rate-distortion (R-D) models, and HEVC encoding on massively parallel processors. Solving these problems will contribute to a smooth and cost-effective deployment of next generation video applications and services. This is very important to the Canadian telecommunications industry (especially mobile operators and IPTV service providers, such as cable operators) and crucial to the success of their next generation multimedia applications and services. Finally, it will contribute to strengthening the technological leadership in the transcoding field of Vantrix, a Canadian company and world leader in video optimization and delivery solutions.
Program
Collaborative Research and Development Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
428942-2011
Name nom
Coulombe, Stéphane
Department département
Génie logiciel et des TI
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2011
Award amount
74895
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
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
Research subject code
2708
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Image processing
Research subject fr
Traitement des images
Partie
5
Nb partie
5
Application title
Novel video coding, transcoding and multicoding technologies applied to H.264 and HEVC
Keyword
NSERC
Application summary
Within the next few years, a convergence of wireless and wired audio-visual services is expected, and, at the same time, phenomenal growth in the number of mobile video and IPTV users. These services will represent an important source of revenue for their operators and providers, and video coding and transcoding will play a key role in these and other services to enable them to function with heterogeneous terminals and networks. However, the growing popularity of video is putting heavy and growing pressure on our information technology (IT) infrastructures, in terms of computational complexity, bandwidth and storage requirements. This project will address these problems by investigating novel technologies applied to H.264 and HEVC in two video research areas. In the first research area, we will work towards improving the visual quality of videos: perceptual distortion rate optimization methods based on novel low-complexity high-accuracy visual quality metrics, near-optimal frame level video coding parameter estimation using machine learning, and a rate control algorithm (based on recent distortion models) giving consistent frame-to-frame quality. In the second area, we will work towards reducing the computational complexity of video coding and transcoding operations: efficient video transcoding exploiting the source's motion vectors, coding modes and residual information for H.264 to HEVC transcoding, novel multi-stream video encoder/transcoder based on motion fields and rate-distortion (R-D) models, and HEVC encoding on massively parallel processors. Solving these problems will contribute to a smooth and cost-effective deployment of next generation video applications and services. This is very important to the Canadian telecommunications industry (especially mobile operators and IPTV service providers, such as cable operators) and crucial to the success of their next generation multimedia applications and services. Finally, it will contribute to strengthening the technological leadership in the transcoding field of Vantrix, a Canadian company and world leader in video optimization and delivery solutions.