VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4654125/4654126/04654149.pdf?arnumber=4654149
Cited by 32 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. AMP-BiLSTM: An Enhanced Highlight Extraction Method Using Multi-Channel Bi-LSTM and Self-Attention in Streaming Videos;2024 IEEE 18th International Conference on Semantic Computing (ICSC);2024-02-05
2. Perceptual Video Summarization using Keyframes Extraction Technique;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20
3. Static Video Summarization Using Video Coding Features with Frame-Level Temporal Subsampling and Deep Learning;Applied Sciences;2023-05-15
4. Video summarization using deep learning techniques: a detailed analysis and investigation;Artificial Intelligence Review;2023-03-15
5. Unsupervised video summarization using deep Non-Local video summarization networks;Neurocomputing;2023-01
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