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Rich internet application for semi-automatic annotation of semantic shots on keyframes

Author
Carcel, E.; Martos, M.; Giro, X.; Marques, F.
Type of activity
Book chapter
Book
Computational intelligence for multimedia understanding
First page
172
Last page
182
Publisher
Springer
Date of publication
2012-09
ISBN
978-3-642-32435-2 Open in new window
DOI
https://doi.org/10.1007/978-3-642-32436-9 Open in new window
Repository
http://hdl.handle.net/2117/16789 Open in new window
URL
http://link.springer.com/book/10.1007/978-3-642-32436-9/page/1 Open in new window
Abstract
This paper describes a system developed for the semiautomatic annotation of keyframes in a broadcasting company. The tool aims at assisting archivists who traditionally label every keyframe manually by suggesting them an automatic annotation that they can intuitively edit and validate. The system is valid for any domain as it uses generic MPEG-7 visual descriptors and binary SVM classifiers. The classification engine has been tested on the multiclass problem of semantic shot detection, a type of...
Citation
Carcel, E. [et al.]. Rich internet application for semi-automatic annotation of semantic shots on keyframes. A: "Computational intelligence for multimedia understanding". Springer Verlag, 2012, p. 172-182.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants