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Welcome to our talk on video update matting via hierarchical space-time semantic guidance video object mating vom aims to identify and predict Alpha mats of one or multiple Target foreground objects from consecutive video frames this technology has been successfully applied in many areas where background replacement is needed the recently proposed algorithms utilize tri-maps as constraint information to locate the target area this approach divides The Mating process into two stages primap generation and trimap based Alpha prediction it first generates try map frame by frame by propagating one or several user annotated try maps to other Target frames then the N it works take the video frames and corresponding try Maps as inputs for Alpha prediction although such tri-map based video object mating methods make the problem more tractable they still remain to Big challenges first given only one or several user annotated reference frames current try map propagation Network struggle to find t
