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Grant: Collaborative Research and Development Grants

Ryerson University

$84,500.00

An optimized cloud-based mobile augmented reality system for marketing and advertising

FY 2014-15

Summary
Augmented Reality (AR) is a live, direct or indirect, view of a physical, real-world environment whose elements are augmented by computer-generated contents such as text, sound, video, or animation. AR marketing and advertising applications can add value to the product itself, either in the form of an enhanced product or a more engaging viewer experience.Collaborating with SimentIT, Inc., we will develop new technology in the cloud-based mobile AR system for marketing and advertising. Specifically, we will investigate three sub-projects: 1) object recognition, in which we first utilize the corner features and superpixels to create a semantic bag-of-words (BoW) model, and then apply a hierarchical Conditional Random Field (CRF) model to perform the object recognition; 2) tracking, in which we first propose a real-time tracking scheme based on Simultaneous Localization And Mapping (SLAM), and then improve the tracking performance by using Kernel Entropy Component Analysis (KECA) based multimodal information fusion; 3) game streaming, in which we propose a prioritized delivery scheme to maximize the scene quality by optimally allocating the bit rate for each 3D object, and a scalable Peer-to-Peer (P2P) geometry streaming scheme to provide different playback qualities for heterogeneous users.The proposed methods are expected to significantly improve the Quality of Experience (QoE) for mobile AR applications. Moreover, the proposed research will help to position Canada as a leader in multimedia technologies in the 21st century. The resultant technology transfer to Canadian industry will strengthen Canada's global competitiveness and create positive impacts to Canadian economy and society.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
458989-2013
Name nom
Guan, Ling
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
2014
Competition year année de concours
2013
Award amount
84500
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
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
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
1
Nb partie
2
Application title
An optimized cloud-based mobile augmented reality system for marketing and advertising
Keyword
NSERC
Application summary
Augmented Reality (AR) is a live, direct or indirect, view of a physical, real-world environment whose elements are augmented by computer-generated contents such as text, sound, video, or animation. AR marketing and advertising applications can add value to the product itself, either in the form of an enhanced product or a more engaging viewer experience.Collaborating with SimentIT, Inc., we will develop new technology in the cloud-based mobile AR system for marketing and advertising. Specifically, we will investigate three sub-projects: 1) object recognition, in which we first utilize the corner features and superpixels to create a semantic bag-of-words (BoW) model, and then apply a hierarchical Conditional Random Field (CRF) model to perform the object recognition; 2) tracking, in which we first propose a real-time tracking scheme based on Simultaneous Localization And Mapping (SLAM), and then improve the tracking performance by using Kernel Entropy Component Analysis (KECA) based multimodal information fusion; 3) game streaming, in which we propose a prioritized delivery scheme to maximize the scene quality by optimally allocating the bit rate for each 3D object, and a scalable Peer-to-Peer (P2P) geometry streaming scheme to provide different playback qualities for heterogeneous users.The proposed methods are expected to significantly improve the Quality of Experience (QoE) for mobile AR applications. Moreover, the proposed research will help to position Canada as a leader in multimedia technologies in the 21st century. The resultant technology transfer to Canadian industry will strengthen Canada's global competitiveness and create positive impacts to Canadian economy and society.
Ryerson University - $84,500 Grant (2014-15) | Canada Spends