Emotion Assessment of YouTube Videos using Color Theory

被引:3
|
作者
Cakmak, Mert Can [1 ]
Shaik, Mainuddin [1 ]
Agarwal, Nitin [1 ]
机构
[1] Univ Arkansas Little Rock, Cosmos Res Ctr, Little Rock, AR 72204 USA
基金
美国国家科学基金会;
关键词
Color Theory; Emotion Analysis; Multimedia Content; Emotive Color Mapping; Color Barcode;
D O I
10.1145/3665026.3665028
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the realm of digital media, the subtle interplay of colors in video content holds the key to unlocking viewer emotions. Our innovative study delves into this fascinating domain, leveraging the rich tapestry of colors in YouTube videos to decipher the emotional undertones they convey. By constructing a robust Color-Emotion Baseline Dictionary, we mapped specific colors to a spectrum of human emotions, uncovering the intricate ways in which visual hues influence viewer sentiment. Our methodology involved generating nuanced tints and shades, transcending conventional colo-remotion models, and employing sophisticated barcode generation techniques for YouTube videos. This approach allowed for an unprecedented analysis of color psychology in digital media. In an innovative experiment using the Trailers12k dataset, we demonstrated the efficacy of our model, revealing significant correlations between color patterns and emotional responses. Our findings not only validate the profound impact of colors on emotional perception but also pave the way for novel applications in areas like digital marketing and content creation. Our work stands out as a unique contribution to the field, offering a fresh perspective on the emotional power of colors in multimedia content and setting a new benchmark for future research in this intriguing area.
引用
收藏
页码:6 / 14
页数:9
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