A Novel Probabilistic Approach to Modeling the Pleasure-Arousal-Dominance Content of the Video based on "Working Memory"
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4338315/4338316/04338343.pdf?arnumber=4338343
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Video Affective Content Analysis by Exploring Domain Knowledge;IEEE Transactions on Affective Computing;2021-10-01
2. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems;Measurement;2020-01
3. Exploring Domain Knowledge for Affective Video Content Analyses;Proceedings of the 25th ACM international conference on Multimedia;2017-10-19
4. Temporal Factor-Aware Video Affective Analysis and Recommendation for Cyber-Based Social Media;IEEE Transactions on Emerging Topics in Computing;2017-07-01
5. Multiple Emotion Tagging for Multimedia Data by Exploiting High-Order Dependencies Among Emotions;IEEE Transactions on Multimedia;2015-12
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