Emotion Assessment of YouTube Videos using Color Theory
Mert Can Çakmak, Mainuddin Shaik, Nitin Agarwal
Abstract
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 color-emotion models, and employing sophisticated barcode generation techniques for YouTube videos. This approach allowed for an unprecedented analysis of color psychology in digital media.