DocumentCode
3466283
Title
Who needs video summarization anyway?
Author
Santini, Simone
Author_Institution
Univ. Autonoma de Madrid, Madrid
fYear
2007
fDate
17-19 Sept. 2007
Firstpage
177
Lastpage
184
Abstract
The purpose of video summarization, when used in an interface, is to extract from a video a limited number of key-frame that convey the meaning of the whole video at a glance. The development of cut detection and key-frame selection algorithm is based on the unspoken assumption that such meaning is conveyed not only by the sheer number of frames that is being presented, but that the comprehension of the video is increased by a careful choice of these frames. This paper presents an experiment that challenges this assumption. Two videos were synthetized using careful frame selection and using a uniform sampling of the video with the same number of frames, and the comprehension of two group of subjects was tested by asking them questions about the videos. The experiment revealed no difference between the comprehension gained by seeing the carefully selected key-frames and that gained by looking at the uniform sampling of the video.
Keywords
feature extraction; image sampling; video signal processing; cut detection algorithm; frame selection; key-frame selection algorithm; video extraction; video summarization; video uniform sampling; Cameras; Face detection; Gunshot detection systems; Hip; Instruments; Layout; Sampling methods; Streaming media; Testing; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing, 2007. ICSC 2007. International Conference on
Conference_Location
Irvine, CA
Print_ISBN
978-0-7695-2997-4
Type
conf
DOI
10.1109/ICSC.2007.96
Filename
4338347
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