ViASNet applies a 3D U-Net architecture augmented with audio and semantic inputs to predict dynamic saliency in video ads and uses frame-wise entropy to diagnose low-engagement scenes on eye-tracked data from 151 ads.
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ViASNet: A Video Ad Saliency Network for Predicting Dynamic Saliency and Viewer Engagement
ViASNet applies a 3D U-Net architecture augmented with audio and semantic inputs to predict dynamic saliency in video ads and uses frame-wise entropy to diagnose low-engagement scenes on eye-tracked data from 151 ads.