PR-Net: Preference Reasoning for Personalized Video Highlight Detection

Author:

Chen Runnan1,Zhou Penghao2,Wang Wenzhe3,Chen Nenglun1,Peng Pai2,Sun Xing2,Wang Wenping1

Affiliation:

1. The University of Hong Kong

2. Tencent,Youtu Lab

3. Zhejiang University

Publisher

IEEE

Reference47 articles.

1. CAFE

2. Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

3. Ranking domain-specific highlights by analyzing edited videos;sun;European Conference on Computer Vision,2014

4. Tvsum: Summarizing web videos using titles;song;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015

5. Query-focused extractive video summarization;sharghi;European Conference on Computer Vision,2016

Cited by 4 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. A Deep Learning Framework for Monitoring Audience Engagement in Online Video Events;International Journal of Computational Intelligence Systems;2024-05-21

2. Finding the Right Moment: Human-Assisted Trailer Creation via Task Composition;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-01

3. Hierarchical Multi-modal Attention Network for Time-sync Comment Video Recommendation;IEEE Transactions on Circuits and Systems for Video Technology;2023

4. Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

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