Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Collaborative Research and Development Grants

Ryerson University

$10,000.00

Intelligent visual media management and processing system

EF 2008-09

Résumé
With the increasing popularity of consumer digital devices, such as digital cameras, digital video cameras, digital TV and projectors, as well as the fast development of the broadband Internet and digital information technologies, huge amounts of digital visual media data, including digital images, videos, and streaming video information, are generated and used by general consumers. Consumers and manufacturers of consumer electronics demand effective methods/tools for processing and managing digital media information, such as information indexing and retrieval, annotation, categorization and analysis. This project is a collaborative effort between Ryerson University and Epson Canada to develop advanced theories and innovative intelligent technologies in visual media management and processing, and tackle application needs in commercial environments. The technical objectives include: (i) to develop a system framework for prototype products of content-based image/video indexing, categorization, analysis and management for commercial home media-center applications; (ii) within this framework and based on specific application requirements, to investigate and establish new theoretical frameworks and criteria for visual media algorithm design; (iii) to develop and incorporate new advanced algorithms and solutions into the prototype products for emerging application problems in visual media management and processing for consumer electronic media. Theory development from this research will extend and enrich content-based multimedia signal processing research, tailor theoretical research with a strong commercial application focus, and provide a solid foundation, useful guidelines, and tested algorithms for future research. The developed algorithms, methods, and prototypes will be tested by Epson Canada and applied in consumer digital imaging products. Success of this collaborated project will help Ryerson University to train highly qualified personnel and develop advanced expertise in digital imaging research, and help Epson Canada and related Canadian industries to build and sustain market leaderships.
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
327711-2005
Name nom
Zhang, XiaoPing
Department département
Electrical and Computer Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2005
Award amount
10000
Program id
CRDPJ
Program nane 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
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
2514
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Digital signal processing
Research subject fr
Traitement des signaux numériques
Partie
2
Nb partie
2
Application title
Intelligent visual media management and processing system
Keyword
NA
Application summary
With the increasing popularity of consumer digital devices, such as digital cameras, digital video cameras, digital TV and projectors, as well as the fast development of the broadband Internet and digital information technologies, huge amounts of digital visual media data, including digital images, videos, and streaming video information, are generated and used by general consumers. Consumers and manufacturers of consumer electronics demand effective methods/tools for processing and managing digital media information, such as information indexing and retrieval, annotation, categorization and analysis. This project is a collaborative effort between Ryerson University and Epson Canada to develop advanced theories and innovative intelligent technologies in visual media management and processing, and tackle application needs in commercial environments. The technical objectives include: (i) to develop a system framework for prototype products of content-based image/video indexing, categorization, analysis and management for commercial home media-center applications; (ii) within this framework and based on specific application requirements, to investigate and establish new theoretical frameworks and criteria for visual media algorithm design; (iii) to develop and incorporate new advanced algorithms and solutions into the prototype products for emerging application problems in visual media management and processing for consumer electronic media. Theory development from this research will extend and enrich content-based multimedia signal processing research, tailor theoretical research with a strong commercial application focus, and provide a solid foundation, useful guidelines, and tested algorithms for future research. The developed algorithms, methods, and prototypes will be tested by Epson Canada and applied in consumer digital imaging products. Success of this collaborated project will help Ryerson University to train highly qualified personnel and develop advanced expertise in digital imaging research, and help Epson Canada and related Canadian industries to build and sustain market leaderships.