With the rapid development of video distribution and broadcasting, affective video content
analysis has attracted a lot of research and development activities recently. Predicting …

Despite neuromorphic computing (NC) technologies offer tremendous potential in executing
computationally intensive tasks with high efficiency and low latency, most of existing …

In this paper, we propose a Hierarchical Multimodal Variational Encoder-Decoder
(HMMVED) to predict the popularity of micro-videos by comprehensively leveraging the user …

Many regression tasks encounter an asymmetric distribution of information between training
and testing phases where the additional information available in training, the so-called …

Affective video content analysis is an active topic in the field of affective computing. In
general, affective video content can be depicted by feature vectors of multiple modalities, so …

Many university lecturers have integrated feature films and television series (FF/TV) into their
lessons to improve student engagement. Although film in teaching might seem like a well …

As an emerging type of user-generated content, micro-video drastically enriches people's
entertainment experiences and social interactions. However, the popularity pattern of an …

This paper introduces an approach for estimating evoked categories expression from videos
with the temporal position fusion. Pre-trained models on large-scale datasets in computer …

Affective video content analysis aims at automatically identifying human emotion triggered
by video, which plays an important role in mental health monitoring. This paper proposes a …