Analyzing Images for Music Recommendation
Multimedia
2021-05-18 v1 Artificial Intelligence
Sound
Audio and Speech Processing
Image and Video Processing
Abstract
Experiencing images with suitable music can greatly enrich the overall user experience. The proposed image analysis method treats an artwork image differently from a photograph image. Automatic image classification is performed using deep-learning based models. An illustrative analysis showcasing the ability of our deep-models to inherently learn and utilize perceptually relevant features when classifying artworks is also presented. The Mean Opinion Score (MOS) obtained from subjective assessments of the respective image and recommended music pairs supports the effectiveness of our approach.
Cite
@article{arxiv.2105.07135,
title = {Analyzing Images for Music Recommendation},
author = {Anant Baijal and Vivek Agarwal and Danny Hyun},
journal= {arXiv preprint arXiv:2105.07135},
year = {2021}
}
Comments
IEEE International Conference on Consumer Electronics (IEEE ICCE 2021)