Multiple Pairwise Ranking Networks for Personalized Video Summarization-Reference-Cited by-同舟云学术

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Multiple Pairwise Ranking Networks for Personalized Video Summarization

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Saquil Yassir¹,Chen Da¹,He Yuan²,Li Chuan³,Yang Yong-Liang¹

Affiliation:

1. University of Bath

2. Alibaba Group

3. Lambda Labs

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710398.pdf?arnumber=9710398

Reference74 articles.

1. Deep reinforcement learning for unsupervised video summarization with diversity-representativeness reward;zhou;AAAI,2018

2. Xing. Quasi real-time summarization for consumer videos;zhao;CVPR,2014

3. HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization

4. Hierarchical Recurrent Neural Network for Video Summarization

Cited by 18 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. Video summarization via knowledge-aware multimodal deep networks;Knowledge-Based Systems;2024-06

2. Unsupervised video summarization with adversarial graph-based attention network;Journal of Visual Communication and Image Representation;2024-06

3. UBiSS: A Unified Framework for Bimodal Semantic Summarization of Videos;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

4. Personalized Video Summarization: A Comprehensive Survey of Methods and Datasets;Applied Sciences;2024-05-22

5. VideoXum: Cross-modal Visual and Textural Summarization of Videos;IEEE Transactions on Multimedia;2024

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