An Integrated System for Spatio-temporal Summarization of 360-Degrees Videos-Reference-Cited by-同舟云学术

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An Integrated System for Spatio-temporal Summarization of 360-Degrees Videos

Published:2024 Issue: Volume: Page:202-215
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Kontostathis Ioannis^ORCID,Apostolidis Evlampios^ORCID,Mezaris Vasileios^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-53302-0_15

Reference28 articles.

1. Apostolidis, E., Adamantidou, E., Metsai, A.I., Mezaris, V., Patras, I.: Video summarization using deep neural networks: a survey. Proc. IEEE 109(11), 1838–1863 (2021). https://doi.org/10.1109/JPROC.2021.3117472

2. Apostolidis, E., Balaouras, G., Mezaris, V., Patras, I.: Summarizing videos using concentrated attention and considering the uniqueness and diversity of the video frames. In: Proceedings of the 2022 International Conference on Multimedia Retrieval, ICMR 2022, pp. 407–415. Association for Computing Machinery, New York, NY, USA (2022). https://doi.org/10.1145/3512527.3531404

3. Bernal-Berdun, E., Martin, D., Gutierrez, D., Masia, B.: SST-Sal: a spherical spatio-temporal approach for saliency prediction in 360 videos. Comput. Graph. 106, 200–209 (2022). https://doi.org/10.1016/j.cag.2022.06.002

4. Bylinskii, Z., Judd, T., Oliva, A., Torralba, A., Durand, F.: What do different evaluation metrics tell us about saliency models? IEEE Trans. Pattern Anal. Mach. Intell. 41(3), 740–757 (2019). https://doi.org/10.1109/TPAMI.2018.2815601

5. Lecture Notes in Computer Science;Y Dahou,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods;Proceedings of the 2024 ACM International Conference on Interactive Media Experiences Workshops;2024-06-12

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