Paper Info
Title
Actor retrieval system based on kernels on bags of bags
Abstract
In the domain of multimedia, rapid DVD browsing or multi- media oriented web search require an efficient content- based image and video retrieval system. In this paper, we present our retrieval system of actors in films combining powerful machine learning techniques with "kernels on bags of bags" design. From a film segmented into shots, we extract video-tubes of actor faces and represent these video objects with sets of temporally coherent features. These vis- ual features are then input in the kernel-based SVM retrieval system. Our approach has been tested on retrieving actors in a real film and proved its efficiency.
Year
Venue
Keywords
2008
EUSIPCO
internet,content-based retrieval,learning (artificial intelligence),multimedia systems,support vector machines,video retrieval,dvd browsing,actor faces,actor retrieval system,content-based image retrieval system,content-based video retrieval system,film,kernel-based svm retrieval system,multimedia,multimedia oriented web search,temporally coherent features,video object representation,video-tube extraction,visual features
Field
DocType
ISSN
Kernel (linear algebra),Computer vision,Human–computer information retrieval,Video retrieval,Information retrieval,Computer science,Support vector machine,Artificial intelligence,Visual Word
Conference
2219-5491
Citations 
PageRank 
References 
3
0.41
17
Authors
4
Name
Order
Citations
PageRank
Shuji Zhao130.41
Frédéric Precioso215927.93
Matthieu Cord3103879.86
S. Philipp-Foliguet4101.84