Evidence map›Paper›PMID 39686305›Full record

ArticleSensors (Basel, Switzerland)2024

Human Color Perception: The Impact of Color Perception on Fine-Grained Emotion Prediction in Movie and Television Videos.

Shuang Wang, Jinyu Liu, Yiming Feng, Xiaomeng Ren, Huibo Hu, Mengfei Zhang, Zhibin Su

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shuang WangState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China.ORCID 0000-0002-5543-6675
Jinyu LiuKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, China.
Yiming FengKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, China.
Xiaomeng RenKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, China.
Huibo HuKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, China.
Mengfei ZhangKey Laboratory of Acoustic Visual Technology and Intelligent Control System, Communication University of China, Ministry of Culture and Tourism, Beijing 100024, China.
Zhibin SuState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China.ORCID 0000-0003-2680-4675

Funding

Fundamental Research Funds for the Central Universities CUC23ZDTJ010National Natural Science Foundation of China 62276240
6 · The paper itself

Abstract

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.

Indexed as

Color PerceptionEmotionsTelevisionAdultFemaleHumansMaleMotion PicturesVideo RecordingYoung Adultrandom forestsubjective evaluation experiment

Identifiers

PMID39686305
PMCPMC11645044

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.