DocumentCode :
2933071
Title :
Aspect-based video browsing — A user study
Author :
Hopfgartner, Frank ; Urruty, Thierry ; Hannah, David ; Elliott, Desmond ; Jose, Joemon M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Glasgow, Glasgow, UK
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
946
Lastpage :
949
Abstract :
In this paper, we present a user study on a novel video search interface based on the concept of aspect browsing. We aim to confirm whether automatically suggesting new aspects can increase the performance of an aspect-based browser. The proposed strategy is to assist the user in exploratory video search by actively suggesting new query terms and video shots. We use a clustering technique to identify potential aspects and use the results to propose suggestions to the user to help them in their search task. We evaluate this approach by analysing the users´ perception and by exploiting the log files.
Keywords :
pattern clustering; video retrieval; aspect-based video browsing; clustering technique; video retrieval; video search interface; Computer interfaces; Displays; Focusing; Graphical user interfaces; Information retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202652
Filename :
5202652
Link To Document :
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