Video Background Music Recommendation Based on Multi-Level Fusion Features-Reference-Cited by-同舟云学术

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Video Background Music Recommendation Based on Multi-Level Fusion Features

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
language:
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Author:

Zhao Xin¹,Li Xiaobing²,Tie Yun¹,Hu Ziqing³,Qi Lin¹

Affiliation:

1. School of Electrical and Information Engineering, Zhengzhou University,Zhengzhou,China

2. Central Conservatory of Music,Department of Music Artificial Intelligence,Beijing,China

3. University of Notre Dame,Department of Applied and Computational Mathematics and Statistics,South Bend on Lake,Michigan,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221939/10221894/10222256.pdf?arnumber=10222256

Reference23 articles.

1. Emotion-based music recommendation by association discovery from film music

2. Personalisation of social web services in the enterprise using spreading activation for multi-source, cross-domain recommendations;heitmann;AAAI Spring Symposium Series 2012,0

3. Research on emotional semantic retrieval of attention mechanism oriented to audio-visual synesthesia

4. Librosa: Audio and music signal analysis in python;brian;14th python in science conference,0

5. Automatic music soundtrack generation for outdoor videos from contextual sensor information

Cited by 1 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. An Audiovisual Correlation Matching Method Based on Fine-Grained Emotion and Feature Fusion;Sensors;2024-08-31

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