Video summarization with a graph convolutional attention network
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000429.pdf
Reference43 articles.
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2. Basavarajaiah M, Sharma P, 2019. Survey of compressed domain video summarization techniques. ACM Comput Surv, 52(6):116. https://doi.org/10.1145/3355398
3. Chen YW, Tsai YH, Lin YY, et al., 2020. VOSTR: video object segmentation via transferable representations. Int J Comput Vis, 128(4):931–949. https://doi.org/10.1007/s11263-019-01224-x
4. Chu WS, Song YL, Jaimes A, 2015. Video co-summarization: video summarization by visual co-occurrence. Proc IEEE Conf on Computer Vision and Pattern Recognition, p.3584–3592. https://doi.org/10.1109/CVPR.2015.7298981
5. Cisco, 2020. Cisco Global Networking Trends Report. https://www.cisco.com/c/m/en_us/solutions/enterprise-networks/networking-report.html
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