Content Based Video Retrieval—Methods, Techniques and Applications-Reference-Cited by-同舟云学术

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Content Based Video Retrieval—Methods, Techniques and Applications

Published:2021 Issue: Volume: Page:81-99
ISSN:2197-6503
Container-title:Studies in Big Data
language:
Short-container-title:

Author:

Bommisetty Reddy Mounika,Palanisamy P.,Khare Ashish

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-75657-4_4

Reference51 articles.

1. Mashtalir, S., Mashtalir, V.: Spatio-temporal video segmentation. In: Advances in Spatio-Temporal Segmentation of Visual, pp. 161–210. Springer, Cham (2020)

2. Xu, K., Wen, L., Li, G., Bo, L., Huang, Q.: Spatiotemporal cnn for video object segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1379–1388 (2019)

3. Tian, Y., Cheng, G., Gelernter, J., Yu, S., Song, C., Yang, B.: Joint temporal context exploitation and active learning for video segmentation. Pattern Recogn. 1(100), (2020)

4. Jin, Y., Cheng, K., Dou, Q., Heng, P.A.: Incorporating temporal prior from motion flow for instrument segmentation in minimally invasive surgery video. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 440–448. Springer, Cham (2019)

5. Zhong, S.H., Wu, J., Jiang, J.: Video summarization via spatio-temporal deep architecture. Neurocomputing 7(332), 224–235 (2019)

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. ALMEGA-VIR: face video retrieval system;The Imaging Science Journal;2023-06-19

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