With the rise of short videos, the demand for selecting appropriate background music (BGM)
for a video has increased significantly, video-music retrieval (VMR) task gradually draws …

Towards improving the performance in various music information processing tasks, recent
studies exploit different modalities able to capture diverse aspects of music. Such modalities …

In today's era of big data with excess information, music is common and everyday, which
shows the huge amount of music data. How to obtain one's favorite music from the massive …

We study cross-modal recommendation of musictracks to be used as soundtracks for videos.
This problem is known as the music supervision task. We build on a self-supervised system …

The term “multimodal music dataset” is often used to describe music-related datasets that
represent music as a multimedia art form and multimodal experience. However, the term …

In this work, we study music/video cross-modal recommendation, ie recommending a music
track for a video or vice versa. We rely on a self-supervised learning paradigm to learn from …

Most existing intelligent editing tools for music and video rely on the cross-modal matching
technology of the affective consistency or the similarity of feature representations. However …

The goal of this work is to formally provide a general definition of a multimedia
recommendation system (MMRS), in particular a content-based MMRS (CB-MMRS), and to …

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 …

Recommending automatically a video given a music or a music given a video has become
an important asset for the audiovisual industry-with user-generated or professional content …