Image Is All for Music Retrieval: Interactive Music Retrieval System Using Images with Mood and Theme Attributes

Author:

Park Jeongeun1ORCID,Kim Minchae1ORCID,Kim Ha Young1ORCID

Affiliation:

1. Graduate School of Information, Yonsei University, Seoul, Republic of Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning

Korean Government [South Korean Ministry of Trade, Industry and Energy (MOTIE)]

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Reference93 articles.

1. User Experience and Information Architecture

2. Interacting with Context Factors in Music Recommendation and Discovery

3. Moodplay: Interactive music recommendation based on Artists’ mood similarity

4. A Query by Humming System for Music Information Retrieval

5. Bogdanov, D., Won, M., Tovstogan, P., Porter, A., & Serra, X. (2019). The MTG-Jamendo dataset for automatic music tagging [Paper presentation]. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019), Long Beach, LA, USA.

Cited by 2 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. “Is Text-Based Music Search Enough to Satisfy Your Needs?” A New Way to Discover Music with Images;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Research on Music Information Retrieval Algorithm based on Deep Learning;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

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