Large-Scale Video Classification with Convolutional Neural Networks-Reference-Cited by-同舟云学术

Large-Scale Video Classification with Convolutional Neural Networks

Published:2020-10-30 Issue: Volume: Page:689-695
ISSN:2190-3018
Container-title:Information and Communication Technology for Intelligent Systems
language:
Short-container-title:

Author:

SravyaPranati Bh.,Suma D.,ManjuLatha Ch.,Putheti Sudhakar

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-7062-9_69

Reference22 articles.

1. Scheidegger, F., Cavigelli, L., Schaffner, M., Malossi, A.C.I., Bekas, C., Benini, L.: Impact of temporal subsampling on accuracy and performance in practical video classification

2. Everingham, M., Gool, L.V., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes (voc) challenge (2009)

3. Fei-fei, L., Fergus, R., Perona, P.: One-shot learning of object categories. IEEE Trans. Pattern Anal. Mach. Intell. 28 (2006)

4. Girshick, R.: Fast R-CNN. In: Proceedings of the International Conference on Computer Vision (ICCV) (2015)

5. Blank, M., Gorelick, L., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. In: Proceedings of the International Conference on Computer Vision (ICCV) (2005)

Cited by 11 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. Computer vision for wildfire detection: a critical brief review;Multimedia Tools and Applications;2024-03-13

2. TEC Prediction Based on Att-CNN-BiLSTM;IEEE Access;2024

3. Fusion Object Detection and Action Recognition to Predict Violent Action;Sensors;2023-06-15

4. A pre-trained deep-learning surrogate model for slope stability analysis with spatial variability;Soils and Foundations;2023-06

5. Using deep learning to analyse behaviour in video surveillances;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23