Interactive Video Layer Decomposition and Matting

摘要

The problem of accurate video layer decomposition is of vital importance in computer vision. Previous methods mainly focus on the foreground extraction. In this paper, we present a user-assisted framework to decompose videos and extract all layers, which is built on the depth information and over-segmented patches. The task is split into two stages: i) the clustering of over-segmented patches; ii) the propagation of layers along the video. Correspondingly, this paper has two contributions: i) a video decomposition method based on greedy over-segmented patches merging; ii) a layer propagation method via iteratively updating color Gaussian Mixture Models(GMM). We test this algorithm on real videos and verify that it outperforms state-of-the-art methods.