9 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CV2019★ 2 cited
Predicting video saliency using crowdsourced mouse-tracking data
Vitaliy Lyudvichenko, Dmitriy Vatolin
This paper presents a new way of getting high-quality saliency maps for video, using a cheaper alternative to eye-tracking data. We designed a mouse-contingent video viewing system…
cs.CV2019★ 9 cited
Improving Video Compression With Deep Visual-Attention Models
Vitaliy Lyudvichenko, Mikhail Erofeev, Alexander Ploshkin +1
Recent advances in deep learning have markedly improved the quality of visual-attention modelling. In this work we apply these advances to video compression. We propose a compressi…