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CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES

Abstract: 

This paper proposes a video summarization method based on novel spatio-temporal features that combine motion magnitude, object class prediction, and saturation. Motion magnitude measures how much motion there is in a video. Object class prediction provides information about an object in a video. Saturation measures the colorfulness of a video. Convolutional neural networks (CNNs) are incorporated for object class prediction. The sum of the normalized features per shot are ranked in descending order, and the summary is determined by the highest ranking shots. This ranking can be conditioned on the object class, and the high-ranking shots for different object classes are also proposed as a summary of the input video. The performance of the summarization method is evaluated on the SumMe datasets, and the results reveal that the proposed method achieves better performance than the summary of worst human and most other state-of-the-art video summarization methods.

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Paper Details

Authors:
Submitted On:
15 September 2017 - 12:29am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Hyunwoo Nam
Paper Code:
3574
Document Year:
2017
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Document Files

ICIP_Poster.pdf

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[1] , "CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2080. Accessed: Jul. 18, 2018.
@article{2080-17,
url = {http://sigport.org/2080},
author = { },
publisher = {IEEE SigPort},
title = {CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES},
year = {2017} }
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T1 - CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES
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PY - 2017
PB - IEEE SigPort
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. (2017). CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES. IEEE SigPort. http://sigport.org/2080
, 2017. CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES. Available at: http://sigport.org/2080.
. (2017). "CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES." Web.
1. . CONTENT ADAPTIVE VIDEO SUMMARIZATION USING SPATIO-TEMPORAL FEATURES [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2080