Grant: Applied Research and Development Grants - Level 2
Seneca College of Applied Arts and Technology
$75,000.00
Incremental Video Categorization Using Audio and Video Features
EF 2020-21
Résumé
Incorporated by seasoned media executives Tessa Sproule and Katie MacGuire in 2014, Vubble is a media and education technology company that builds and offers innovative solutions for trustworthy digital video curation, assessment, and distribution. Vubble has a team of editors, journalists and teachers who curate quality online video content, selecting the best, most informative videos and assess their veracity using the Vubble Credibility Meter, which Vubble developed at MIT, in collaboration with the Nieman Journalism Lab, in February 2017. Vubble's editors add structured data to each video, through their 'data labelling' process-they tag content using their taxonomy, which includes categories such as 'topic', 'tone' and 'grade level'.
Categorization and assignment of textual labels to the videos takes valuable editorial time and limits the number of videos an editor can process in a day. This manual process is a hindrance to Vubble's ability to scale its operations to meet the increasing needs of its current customers and grow its customer base. Vubble is partnering with Seneca to develop and implement an automatic system, customized for video curators, to categorize video material based on both visual and audio cues. Implementation of the system will enable Vubble to increase its productivity and address existing and new market demand, ultimately enabling the scaling of its business.
Programme
Applied Research and Development Grants - Level 2
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
554151-2020
Name nom
Leaver, Chad
Department département
Head Office
Organization id
1803
Institution établissement
Seneca College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
75000
Program id
CARD2
Program name en
Applied Research and Development Grants - Level 2
Program name fr
Subventions de recherche et développement appliquée - niveau 2
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
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
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
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Incremental Video Categorization Using Audio and Video Features
Keyword
NSERC
Application summary
Incorporated by seasoned media executives Tessa Sproule and Katie MacGuire in 2014, Vubble is a media and education technology company that builds and offers innovative solutions for trustworthy digital video curation, assessment, and distribution. Vubble has a team of editors, journalists and teachers who curate quality online video content, selecting the best, most informative videos and assess their veracity using the Vubble Credibility Meter, which Vubble developed at MIT, in collaboration with the Nieman Journalism Lab, in February 2017. Vubble's editors add structured data to each video, through their 'data labelling' process-they tag content using their taxonomy, which includes categories such as 'topic', 'tone' and 'grade level'.
Categorization and assignment of textual labels to the videos takes valuable editorial time and limits the number of videos an editor can process in a day. This manual process is a hindrance to Vubble's ability to scale its operations to meet the increasing needs of its current customers and grow its customer base. Vubble is partnering with Seneca to develop and implement an automatic system, customized for video curators, to categorize video material based on both visual and audio cues. Implementation of the system will enable Vubble to increase its productivity and address existing and new market demand, ultimately enabling the scaling of its business.