… occurs simultaneously with the segmentation of the foreground. The video, however,
should be captured with static cameras. In this paper, we segment the videos captured with a …

… We evaluate our approach on three publicly available semantic video segmentation
datasets. We demonstrate that our learned policy is capable of selecting informative object …

… is based on casting video segmentation as a semi-supervised learning problem with
video-specific … A framework for object cutout and interactive segmentation: In this work we present …

… visual system during a fixation. We hypothesize that during a fixation the human visual system
at least segments … So, rather than segmenting the entire scene/image at once, it segments …

… In this paper, we develop an approach to video segmentation that … active learning. We
evaluate our approach on the DAVIS16 annotated video data set and Shining3D dental video data …

… To implement the shape based active contour described in Section II, we need to find how
to use shape characteristic functions in a segmentation algorithm. The first problem is how to …

… to video segmentation via active learning. Shot segmentation is an essential first step to video
segmentation… The color histogram-based shot boundary detection algorithm is one of the …

… present a survey of the region-based active contours found in the literature. In section 3, …
-based active contours and a new Eulerian proof to compute the evolution equation of the active …

… occurs simultaneously with the segmentation of the foreground. The video, however,
should be captured with static cameras. In this paper, we segment the videos captured with a …

… active contour model is used to extract the object boundary. The active contour is widely used
in video segmentation … for spatio-temporal video segmentation and delayering using dense …