Identifying affective levels on music video via completing the missing modality
M Chen, G Cheng, L Guo - Multimedia Tools and Applications, 2018 - Springer
Emotion tagging is one theme of interest in affective computing, which labels stimuli with
human understandable semantic information. Previous works indicate that modality fusion …
human understandable semantic information. Previous works indicate that modality fusion …
Affective video content analyses by using cross-modal embedding learning features
B Li, Z Chen, S Li, WS Zheng - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Most existing methods on affective video content analyses are dedicated to single media,
either visual content or audio content and few attempts for combined analysis of the two …
either visual content or audio content and few attempts for combined analysis of the two …
Multi-modal learning for affective content analysis in movies
Y Yi, H Wang - Multimedia Tools and Applications, 2019 - Springer
Affective content analysis is an important research topic in video content analysis, and has
extensive applications in many fields. However, it is a challenging task to design a …
extensive applications in many fields. However, it is a challenging task to design a …
Content-based video emotion tagging augmented by users' multiple physiological responses
The intrinsic interactions among a video's emotion tag, its content, and a user's spontaneous
responses while consuming the video can be leveraged to improve video emotion tagging …
responses while consuming the video can be leveraged to improve video emotion tagging …
Inter-brain EEG feature extraction and analysis for continuous implicit emotion tagging during video watching
How to efficiently tag the emotional experience of multimedia contents is an important and
challenging problem in the field of affective computing. This paper presents an EEG-based …
challenging problem in the field of affective computing. This paper presents an EEG-based …
Stepwise Fusion Transformer for Affective Video Content Analysis
Z Chen, X Xiang, X Deng, Q Wang - International Conference on Neural …, 2023 - Springer
In the field of video content analysis, affective video content analysis is an important part.
This paper presents an efficient multimodal multilevel Transformer derivation model based …
This paper presents an efficient multimodal multilevel Transformer derivation model based …
Multimodal local-global attention network for affective video content analysis
Y Ou, Z Chen, F Wu - … Transactions on Circuits and Systems for …, 2020 - ieeexplore.ieee.org
With the rapid development of video distribution and broadcasting, affective video content
analysis has attracted a lot of research and development activities recently. Predicting …
analysis has attracted a lot of research and development activities recently. Predicting …
Temporal Enhancement for Video Affective Content Analysis
X Li, S Wang, X Huang - ACM Multimedia 2024 - openreview.net
With the popularity and advancement of the Internet and video-sharing platforms, video
affective content analysis has been greatly developed. Nevertheless, existing methods often …
affective content analysis has been greatly developed. Nevertheless, existing methods often …
Learning affective features based on vip for video affective content analysis
Video affective computing aims to recognize, interpret, process, and simulate human
affective of videos from visual, textual, and auditory sources. An intrinsic challenge is how to …
affective of videos from visual, textual, and auditory sources. An intrinsic challenge is how to …
Implicit video emotion tagging from audiences' facial expression
In this paper, we propose a novel implicit video emotion tagging approach by exploring the
relationships between videos' common emotions, subjects' individualized emotions and …
relationships between videos' common emotions, subjects' individualized emotions and …