Cluster-Based Video Summarization with Temporal Context Awareness
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0376-0_2
Reference30 articles.
1. Apostolidis, E., Adamantidou, E., Metsai, A.I., Mezaris, V., Patras, I.: AC-SUM-GAN: connecting actor-critic and generative adversarial networks for unsupervised video summarization. IEEE Trans. Circuits Syst. Video Technol. 31(8), 3278–3292 (2020)
2. Apostolidis, E., Adamantidou, E., Metsai, A.I., Mezaris, V., Patras, I.: Performance over random: a robust evaluation protocol for video summarization methods. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 1056–1064 (2020)
3. Lecture Notes in Computer Science;E Apostolidis,2020
4. Apostolidis, E., Adamantidou, E., Metsai, A.I., Mezaris, V., Patras, I.: Video summarization using deep neural networks: a survey. IEEE Trans. Pattern Anal. Mach. Intell. (2021)
5. Apostolidis, E., Balaouras, G., Mezaris, V., Patras, I.: Combining global and local attention with positional encoding for video summarization. In: 2021 IEEE International Symposium on Multimedia (ISM), pp. 226–234 (2021)
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