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ArticleUser-generated video emotion recognition based on key frames

Jie Wei2021

Article2021

User-generated video emotion recognition based on key frames

Jie Wei · Xinyu Yang · Yizhuo Dong

48 citations·0/0 files stored·Multimedia Tools and Applications

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Emotion and Mood Recognition Human Pose and Action Recognition Video Analysis and Summarization

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References

2017Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition 2017Audio-Visual Emotion Recognition in Video Clips 2016Facial Expression Recognition in Video with Multiple Feature Fusion 2018Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks 2015Video Affective Content Analysis: A Survey of State-of-the-Art Methods 2017Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network 20132013 Humaine Association Conference on Affective Computing and Intelligent Interaction 2015Deep Multimodal Learning for Affective Analysis and Retrieval

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2020Multimodal Local-Global Attention Network for Affective Video Content Analysisarticle · 4 shared references 2022A Survey on Databases for Multimodal Emotion Recognition and an Introduction to the VIRI (Visible and InfraRed Image) Databasearticle · 4 shared references 2023A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methodsarticle · 3 shared references 2019An Active Learning Paradigm for Online Audio-Visual Emotion Recognitionarticle · 3 shared references 2023Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotionarticle · 3 shared references 2020C-GCN: Correlation Based Graph Convolutional Network for Audio-Video Emotion Recognitionarticle · 3 shared references

Details

Year2021

Typearticle

Published2021-01-22

VenueMultimedia Tools and Applications

ISSN-L1380-7501

Languageen

Citations48

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s11042-020-10203-1

openalex_workW3125250951

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