Author:
Kolmakova Tatiana,Makarov Ilya
Publisher
Springer Nature Switzerland
Reference57 articles.
1. Abdrahimov, A., Savchenko, A.V.: Summarization of videos from online events based on multimodal emotion recognition. In: Proceedings of International Russian Automation Conference (RusAutoCon), pp. 436–441. IEEE (2022)
2. Lecture Notes in Computer Science;E Apostolidis,2020
3. Apostolidis, E., Adamantidou, E., Metsai, A.I., Mezaris, V., Patras, I.: Video summarization using deep neural networks: a survey. arXiv preprint arXiv:2101.06072 (2021)
4. Apostolidis, E., Metsai, A.I., Adamantidou, E., Mezaris, V., Patras, I.: A stepwise, label-based approach for improving the adversarial training in unsupervised video summarization. In: Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery, pp. 17–25 (2019)
5. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)
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