Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames
Author:
Affiliation:
1. CERTH-ITI and Queen Mary University of London, Thessaloniki, Greece
2. CERTH-ITI, Thessaloniki, Greece
3. Queen Mary University of London, London, United Kingdom
Funder
Horizon 2020 Framework Programme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3512527.3531404
Reference34 articles.
1. Performance over Random
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4. Video Summarization Using Deep Neural Networks: A Survey
5. A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization
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