Image Is All for Music Retrieval: Interactive Music Retrieval System Using Images with Mood and Theme Attributes
- Title
- Image Is All for Music Retrieval: Interactive Music Retrieval System Using Images with Mood and Theme Attributes
- Author
- 박정은
- Keywords
- Image-to-music retrieval system; user interface; human–computer interaction; multimodal information
- Issue Date
- 2023-04-24
- Publisher
- TAYLOR & FRANCIS INC
- Citation
- INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
- Abstract
- We propose an intuitive image-to-music retrieval (IMR) framework to improve the user experienceon these platforms. The proposed method extracts mood and theme tags by searching for imagesfrom a pre-built database that are similar to a query image and then retrieves music with match-ing tag information. We investigated the system’s effectiveness by comparing participants’satisfac-tion, intention to use, and valence between those who interacted with the system and those whodid not. We also examined whether using mood or theme attributes affected the user-perceivedsuitability of the retrieved music. Results showed that all three variables of the interaction groupwere significantly higher than that of the non-interaction group and that there was no differencein the perceived suitability of music between the mood and theme attributes. Our study con-cludes that image attributes are effective in successful music retrieval and that interaction is a cru-cial factor in designing IMR systems.
- URI
- https://information.hanyang.ac.kr/#/eds/detail?an=000973368300001&dbId=edswschttps://repository.hanyang.ac.kr/handle/20.500.11754/189944
- ISSN
- 1044-7318; 1532-7590
- DOI
- 10.1080/10447318.2023.2201557
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > MEDIA, CULTURE, AND DESIGN TECHNOLOGY(ICT융합학부) > Articles
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