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Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network

Abstract: 

Video summarization considers the problem of selecting a concise set of frames or shots to preserve the most essential contents of the original video. Most of the current approaches apply Recurrent Neural Network (RNN) to learn the interdependencies among the video frames without considering the distinct information of particular frames. Other methods leverage the attention mechanism to explore the characteristics of some certain frames, while ignoring the systematic knowledge across the video sequence. In this paper, a novel video summarization methodology, Wide and Deep Summarization Network (WD-SN), is proposed based on attention mechanism and Independently Recurrent Neural Network(IndRNN). It captures both the wide independent characteristics and the deep interdependencies of a video sequence. Experiments on SumMe and TVSum datasets demonstrate the effectiveness of our framework.

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Paper Details

Authors:
Lu Lu
Submitted On:
20 March 2020 - 12:12am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Juanping Zhou
Paper Code:
154
Session:
Posters
Document Year:
2020
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[1] Lu Lu, "Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5007. Accessed: Aug. 05, 2020.
@article{5007-20,
url = {http://sigport.org/5007},
author = { Lu Lu },
publisher = {IEEE SigPort},
title = {Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network},
year = {2020} }
TY - EJOUR
T1 - Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network
AU - Lu Lu
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5007
ER -
Lu Lu. (2020). Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network. IEEE SigPort. http://sigport.org/5007
Lu Lu, 2020. Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network. Available at: http://sigport.org/5007.
Lu Lu. (2020). "Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network." Web.
1. Lu Lu. Wide and Deep Learning for Video Summarization via Attention Mechanism and Independently Recurrent Neural Network [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5007