Title :
Searching and Browsing Video in Face Space
Author :
Begeja, Lee ; Liu, Zhu
Author_Institution :
AT&T Labs. Res., Florham Park, NJ, USA
Abstract :
We propose an approach to searching and browsing video and multimedia using the results of face clustering. Once a set of faces has been detected we use various techniques to create a set of clusters of faces from a particular video. That set of clusters encourages new approaches to browsing and searching video that are not linguistic and can apply to videos internationally, in any language.
Keywords :
face recognition; pattern clustering; video signal processing; face clustering; face space; multimedia; video browsing; video searching; Clustering algorithms; Data mining; Face detection; Information analysis; Information resources; Motion pictures; TV; Torso; USA Councils; Web and internet services; eigenface; face clustering; multimedia searching and browsing;
Conference_Titel :
Multimedia, 2009. ISM '09. 11th IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-5231-6
Electronic_ISBN :
978-0-7695-3890-7
DOI :
10.1109/ISM.2009.118
