Grant: Discovery Grants Program - Individual
Centre de recherche informatique de Montréal
$22,000.00
Video summarization based on key-places clustering and logical story units
FY 2014-15
Summary
Video content can be accessed by retrieval or browsing. Retrieval is useful when the user know exactly what he/she is looking for. Browsing is useful when the user only needs an overview of the content. In a sense, retrieval is like looking for something from the index of a book while browsing is from the table of content (ToC). Video summarization is the process of generating an audio-visual ToC to help quickly capture the content of a video.The proposed research program targets video summarization. The objective is to develop and integratemultimodal analysis tools to segment a video into logical story units (LSU) based on a new automatickey-places clustering. This will be integrated into a LSU-based GUI, rather than a standard shot- orkey-frame-based one, that provides a graphical ToC to the user with the possibility to access parts of the video from it. The GUI should be adaptable to allow user to access video based on his preferences and compatible with the TRECVID evlauation.Video indexing is a very active research topic. Many researches are still needed to reduce the so-called""semantic gap"" between low-level features and human understanding. This project wants to be a contribution to this important field but through the video summarization ""lense"". In particular, a LSU-based videosummarization GUI will be an original contribution of the research program for the advancement of knowledge in the field of visual content usability and for the information technology sector.
Program
Discovery Grants Program - Individual
Location
Quebec, Canada
Recipient Type
Not-for-profit organization or charity
Type
Grant
Source
NSERC's Awards Data
As published
Application id
227071-2011
Name nom
Gagnon, Langis
Department département
Recherche et Développement
Organization id
71
Institution établissement
Centre de recherche informatique de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2011
Award amount
22000
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
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
4
Nb partie
5
Application title
Video summarization based on key-places clustering and logical story units
Keyword
NSERC
Application summary
Video content can be accessed by retrieval or browsing. Retrieval is useful when the user know exactly what he/she is looking for. Browsing is useful when the user only needs an overview of the content. In a sense, retrieval is like looking for something from the index of a book while browsing is from the table of content (ToC). Video summarization is the process of generating an audio-visual ToC to help quickly capture the content of a video.The proposed research program targets video summarization. The objective is to develop and integratemultimodal analysis tools to segment a video into logical story units (LSU) based on a new automatickey-places clustering. This will be integrated into a LSU-based GUI, rather than a standard shot- orkey-frame-based one, that provides a graphical ToC to the user with the possibility to access parts of the video from it. The GUI should be adaptable to allow user to access video based on his preferences and compatible with the TRECVID evlauation.Video indexing is a very active research topic. Many researches are still needed to reduce the so-called""semantic gap"" between low-level features and human understanding. This project wants to be a contribution to this important field but through the video summarization ""lense"". In particular, a LSU-based videosummarization GUI will be an original contribution of the research program for the advancement of knowledge in the field of visual content usability and for the information technology sector.