The ability of music to induce or convey emotions ensures the importance of its role in
human life. Consequently, research on methods for identifying the high-level emotion states …

Studies in affective audio–visual correspondence learning require ground-truth data to train,
validate, and test models. The number of available datasets together with benchmarks …

Short online videos have become the dominating media on social platforms. However,
finding suitable music to accompany videos can be a challenging task to some video …

Cross-modal retrieval learns the relationship between the two types of data in a common
space so that an input from one modality can retrieve data from a different modality. We …

Modeling the association between music and emotion has been considered important for
music information retrieval and affective human computer interaction. This paper presents a …

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 …

Emotion-aware music recommendations has gained increasing attention in recent years, as
music comes with the ability to regulate human emotions. Exploiting emotional information …

Automatic video editing is receiving increasingly attention as the digital camera technology
develops further and social media sites such as YouTube and Flickr become popular …

Detecting complex events in videos is intrinsically a multimodal problem since both audio
and visual channels provide important clues. While conventional methods fuse both …

Human perceptions of music and image are closely related to each other, since both can
inspire similar human sensations, such as emotion, motion, and power. This paper aims to …