A Novel Attention-based Neural Network for Video Scene Classification in Complex Background

Author:

Fu Yan1,Xin Ru1,Ye Ou1

Affiliation:

1. Xi'an University of Science and Technology, Xi'an, China

Publisher

ACM

Reference19 articles.

1. Li Xiangwei and Kang Yuxiu. Research on key technologies and content based video retrival and mining. software 35(8):26--31 2014. Li Xiangwei and Kang Yuxiu. Research on key technologies and content based video retrival and mining. software 35(8):26--31 2014.

2. Shengxin Zha Florian Luisier Walter Andrews Nitish Srivastava and Ruslan Salakhutdinov. Exploiting image-trained CNN architectures for unconstrained video classification. CoRR abs/1503.04144 2015. Shengxin Zha Florian Luisier Walter Andrews Nitish Srivastava and Ruslan Salakhutdinov. Exploiting image-trained CNN architectures for unconstrained video classification. CoRR abs/1503.04144 2015.

3. Nitish Srivastava Elman Mansimov and Ruslan Salakhutdinov. Unsupervised learning of video representations using lstms. CoRR abs/1502.04681 2015. Nitish Srivastava Elman Mansimov and Ruslan Salakhutdinov. Unsupervised learning of video representations using lstms. CoRR abs/1502.04681 2015.

4. Image-to-video person re-identification with temporally memorized similarity learning;Zhang Dongyu;IEEE Transactions on Circuits and Systems for Video Technology, PP:1--1,2017

5. Multi-organ plant classification based on convolutional and recurrent neural networks;Lee Sue Han;IEEE Transactions on Image Processing, PP:1--1,2018

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1. Scene Representation Learning from Videos Using Self-Supervised and Weakly-Supervised Techniques;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

2. Towards Automated Surveillance: A Review of Intelligent Video Surveillance;Lecture Notes in Networks and Systems;2021

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