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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
Presentation of work at congresses
Name of edition
International Workshop on Computational Intelligence for Multimedia Understanding 2011
Date of publication
2011
Presentation's date
2011
Book of congress proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
First page
172
Last page
182
DOI
https://doi.org/10.1007/978-3-642-32436-9_15 Open in new window
Repository
http://hdl.handle.net/2117/18063 Open in new window
URL
http://link.springer.com/chapter/10.1007%2F978-3-642-32436-9_15 Open in new window
Abstract
This paper describes a system developed for the semi-automatic 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 o...
Citation
Carcel, E. [et al.]. Rich internet application for semi-automatic annotation of semantic shots on keyframes. A: MUSCLE International Workshop. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)". 2011, p. 172-182.
Keywords
MPEG-7 visual descriptors, RIA, annotation, classification, semantic shot
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants