Impression estimation system for videos from dynamic features
Wataru Sano, Ryoichi Shinkuma, Gabriele Trovato · 2024
We present a system that estimates the subjective impression of videos from its associated three-dimensional features. Our experiment investigates the correlation between the subjective impression of videos and dynamic features of videos. We use Pearson and Spearman’s rank correlations for the measurement in the experiment.