Spatial attention model‐modulated bi‐directional long short‐term memory for unsupervised video summarisation
Author:
Affiliation:
1. School of Computer Central China Normal University, Wuhan China
2. NERCMS Wuhan University China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.12111
Reference10 articles.
1. Video Summarization With Attention-Based Encoder–Decoder Networks
2. Video Salient Object Detection via Fully Convolutional Networks
3. Zhang K. et al.:Video summarization with long short‐term memory. In:European Conference on Computer Vision ‐ ECCV 2016 PT VII Amsterdam The Netherlands vol. 9911 pp.766–782(2016)
4. Elhamifar E. Sapiro G. Vidal R.:Sparse modeling for finding representative objects. In:CVPR Providence RI USA pp.1600–1607(2012)
5. Mahasseni B. Lam M. Todorovic S.:Unsupervised video summarization with adversarial LSTM networks. In:CVPR Hawaii USA pp.2982–2991(2017)
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