Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos
This article investigates the impact of visual color perception on fine-grained emotion prediction in videos, analyzing the contribution of color perception features in fine-grained emotion prediction. A total of 20 subjects were involved in this experiment. First, 10 subjects conducted a fine-grain...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/23/7770 |
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| author | Shuang Wang Jinyu Liu Yiming Feng Xiaomeng Ren Huibo Hu Mengfei Zhang Zhibin Su |
| author_facet | Shuang Wang Jinyu Liu Yiming Feng Xiaomeng Ren Huibo Hu Mengfei Zhang Zhibin Su |
| author_sort | Shuang Wang |
| collection | DOAJ |
| description | This article investigates the impact of visual color perception on fine-grained emotion prediction in videos, analyzing the contribution of color perception features in fine-grained emotion prediction. A total of 20 subjects were involved in this experiment. First, 10 subjects conducted a fine-grained emotional subjective evaluation experiment on 50 video clips. Then, another 10 subjects conducted a subjective evaluation experiment of color perception annotation for these 50 video clips. On this basis, the correlation and mechanism between color perceptual features and fine-grained emotions were analyzed. Finally, a fine-grained emotion prediction model was established based on the combination of objective features and color perceptual features. It was also observed that, compared to using only objective features, incorporating perceptual features enhanced the model’s accuracy. This article also compared the importance of different perceptual features for each emotion and explained the mechanism between color perception and fine-grained emotions. By selecting the top 24 important features to predict emotions, the association between perceptual features and emotions was more effectively captured. |
| format | Article |
| id | doaj-art-7cb36dbd704a406189d31471dbcba28a |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-7cb36dbd704a406189d31471dbcba28a2025-08-20T02:38:48ZengMDPI AGSensors1424-82202024-12-012423777010.3390/s24237770Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television VideosShuang Wang0Jinyu Liu1Yiming Feng2Xiaomeng Ren3Huibo Hu4Mengfei Zhang5Zhibin Su6State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, ChinaKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, ChinaKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, ChinaKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, ChinaKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, ChinaKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, ChinaState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, ChinaThis article investigates the impact of visual color perception on fine-grained emotion prediction in videos, analyzing the contribution of color perception features in fine-grained emotion prediction. A total of 20 subjects were involved in this experiment. First, 10 subjects conducted a fine-grained emotional subjective evaluation experiment on 50 video clips. Then, another 10 subjects conducted a subjective evaluation experiment of color perception annotation for these 50 video clips. On this basis, the correlation and mechanism between color perceptual features and fine-grained emotions were analyzed. Finally, a fine-grained emotion prediction model was established based on the combination of objective features and color perceptual features. It was also observed that, compared to using only objective features, incorporating perceptual features enhanced the model’s accuracy. This article also compared the importance of different perceptual features for each emotion and explained the mechanism between color perception and fine-grained emotions. By selecting the top 24 important features to predict emotions, the association between perceptual features and emotions was more effectively captured.https://www.mdpi.com/1424-8220/24/23/7770subjective evaluation experimentrandom forest |
| spellingShingle | Shuang Wang Jinyu Liu Yiming Feng Xiaomeng Ren Huibo Hu Mengfei Zhang Zhibin Su Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos Sensors subjective evaluation experiment random forest |
| title | Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos |
| title_full | Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos |
| title_fullStr | Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos |
| title_full_unstemmed | Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos |
| title_short | Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos |
| title_sort | human color perception the impact of color perception on fine grained emotion prediction in movie and television videos |
| topic | subjective evaluation experiment random forest |
| url | https://www.mdpi.com/1424-8220/24/23/7770 |
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