Grant: Discovery Grants Program - Individual
University of Waterloo
$69,000.00
Information-theoretic research of video coding: theory and algorithms
EF 2013-14
Résumé
Video communications is a major area of growth in engineering today and in the future. Just look at the growing popularity of Internet TV, Internet video conferencing, and mobile video. A key problem in video communications, however, is the conflict between the growing data volume of video and the increasing shortage of bandwidth. This is particularly true in wireless video communications. Indeed, with the growing popularity of wireless video and the proliferation of high definition TV and other emerging new video applications, the bandwidth shortage becomes increasingly severe to the extent that it is regarded as an issue meriting our national attention. As such, there is strong demand for better video coding technologies which can improve compression efficiency significantly while providing other green features such as low complexity (hence low encoding and decoding power consumption) and scalability. Existing video coding standards are all based on the framework of predictive DCT-based video coding. Compression performance gains of these standards over their predecessors come largely from the improvements in their signal processing components---prediction/compensation and reconstruction filtering. Although one cannot rule out the possibility of further gains from this direction, it is certain that such gains, if any, are diminishing for given frame sizes and would come at extreme high computation complexity. Therefore, it is imperative to explore new directions and develop game-changing approaches to future generations of video coding. Building on our early success in both lossless and lossy compression and in developing information theoretic (IT) ideas and algorithms for image and video coding, in this research, we will investigate and explore game-changing approaches to video coding systematically from the IT point of view by proposing new advanced video coding frameworks, developing their respective information theory, and designing new efficient video coding algorithms.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
203035-2011
Name nom
Yang, EnHui
Department département
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
2013
Competition year année de concours
2011
Award amount
69000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2718
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Communication and information theory
Research subject fr
Théorie des télécommunications et de l'information
Partie
3
Nb partie
5
Application title
Information-theoretic research of video coding: theory and algorithms
Keyword
NSERC
Application summary
Video communications is a major area of growth in engineering today and in the future. Just look at the growing popularity of Internet TV, Internet video conferencing, and mobile video. A key problem in video communications, however, is the conflict between the growing data volume of video and the increasing shortage of bandwidth. This is particularly true in wireless video communications. Indeed, with the growing popularity of wireless video and the proliferation of high definition TV and other emerging new video applications, the bandwidth shortage becomes increasingly severe to the extent that it is regarded as an issue meriting our national attention. As such, there is strong demand for better video coding technologies which can improve compression efficiency significantly while providing other green features such as low complexity (hence low encoding and decoding power consumption) and scalability. Existing video coding standards are all based on the framework of predictive DCT-based video coding. Compression performance gains of these standards over their predecessors come largely from the improvements in their signal processing components---prediction/compensation and reconstruction filtering. Although one cannot rule out the possibility of further gains from this direction, it is certain that such gains, if any, are diminishing for given frame sizes and would come at extreme high computation complexity. Therefore, it is imperative to explore new directions and develop game-changing approaches to future generations of video coding. Building on our early success in both lossless and lossy compression and in developing information theoretic (IT) ideas and algorithms for image and video coding, in this research, we will investigate and explore game-changing approaches to video coding systematically from the IT point of view by proposing new advanced video coding frameworks, developing their respective information theory, and designing new efficient video coding algorithms.