DocumentCode :
2695856
Title :
Analyzing video concept detectors visually
Author :
Snoek, Cees G M ; Van Balen, Richard ; Koelma, Dennis C. ; Smeulders, Arnold W M ; Worring, Marcel
Author_Institution :
ISLA, Amsterdam Univ., Amsterdam
fYear :
2008
fDate :
June 23 2008-April 26 2008
Firstpage :
1603
Lastpage :
1604
Abstract :
In this demonstration we showcase an interactive analysis tool for researchers working on concept-based video retrieval. By visualizing intermediate concept detection analysis stages, the tool aids in understanding the success and failure of video concept detection methods. We demonstrate the tool on the domain of pop concert video.
Keywords :
content-based retrieval; indexing; video retrieval; video signal processing; concept-based video retrieval; pop concert video; video concept detection methods; Bridges; Content based retrieval; Data mining; Detectors; Failure analysis; Feature extraction; Labeling; Mobile handsets; Supervised learning; Visualization; analysis tool; video concept detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
Type :
conf
DOI :
10.1109/ICME.2008.4607759
Filename :
4607759
Link To Document :
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