AI RESEARCH
ViASNet: A Video Ad Saliency Network for Predicting Dynamic Saliency and Viewer Engagement
arXiv CS.CV
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ArXi:2605.29302v1 Announce Type: new The digital media landscape has seen a pervasive shift toward short-form video advertising on TV, social media and e-commerce platforms. The present study focuses on deep saliency prediction for short-form video advertising. Deep saliency models have been used to generate predictions of human eye fixation patterns with the purpose of enhancing user interaction with digital technology and optimizing its design.