Content-based music-image retrieval using self-and cross-modal feature embedding memory

T Nakatsuka, M Hamasaki… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
This paper describes a method based on deep metric learning for content-based cross-
modal retrieval of a piece of music and its representative image (ie, a music audio signal …

A Way for Deaf and Hard of Hearing People to Enjoy Music by Exploring and Customizing Cross-modal Music Concepts

Y Choi, J Jeon, CH Lee, YG Noh, JH Hong - Proceedings of the CHI …, 2024 - dl.acm.org
Deaf and hard of hearing (DHH) people enjoy music and access it using a music-sensory
substitution system that delivers sound together with the corresponding visual and tactile …

Harnessing music-related visual stereotypes for music information retrieval

A Schindler, A Rauber - ACM Transactions on Intelligent Systems and …, 2016 - dl.acm.org
Over decades, music labels have shaped easily identifiable genres to improve recognition
value and subsequently market sales of new music acts. Referring to print magazines and …

Towards global music digital libraries: A cross-cultural comparison on the mood of Chinese music

X Hu, JH Lee - Journal of Documentation, 2016 - emerald.com
Purpose The purpose of this paper is to compare music mood perceptions of people with
diverse cultural backgrounds when they interact with Chinese music. It also discusses how …

Multi-modal music information retrieval: Augmenting audio-analysis with visual computing for improved music video analysis

A Schindler - arXiv preprint arXiv:2002.00251, 2020 - arxiv.org
This thesis combines audio-analysis with computer vision to approach Music Information
Retrieval (MIR) tasks from a multi-modal perspective. This thesis focuses on the information …