Regression Augmented Global Attention Network for Query-Focused Video Summarization

Author:

Su Min,Ma Ran,Zhang Bing,Li Kai,An Ping

Publisher

Springer Nature Singapore

Reference23 articles.

1. Zhang, Y., Kampffmeyer, M.C., Liang, X., Tan, M., Xing, E.: Query-conditioned three-player adversarial network for video summarization. In: British Machine Vision Conference 2018, BMVC 2018, Northumbria University, Newcastle, UK, 3–6 September 2018, 288 p. BMVA Press (2018). https://researchr.org/publication/ZhangKLTX18/related

2. Jiang, P., Han, Y.: Hierarchical variational network for user-diversified & query-focused video summarization. In: Proceedings of the 2019 on International Conference on Multimedia Retrieval, pp. 202–206. Association for Computing Machinery, Ottawa ON, Canada (2019)

3. Zhang, Y.J., Kampffmeyer, M., Zhao, X.G., Tan, M.: Deep reinforcement learning for query-conditioned video summarization. Appl. Sci. Basel 9, 16 (2019)

4. Xiao, S., Zhao, Z., Zhang, Z., Yan, X., Yang, M.: Convolutional hierarchical attention network for query-focused video summarization. In: AAAI, pp. 12426–12433 (2020)

5. Xiao, S.W., Zhao, Z., Zhang, Z.J., Guan, Z.Y., Cai, D.: Query-biased self-attentive network for query-focused video summarization. IEEE Trans. Image Process. 29, 5889–5899 (2020)

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