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. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Li, Y., Zhou, Z., & Wu, W. (2011). Interactive video layer decomposition and matting. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6469 LNCS, pp. 52–61). https://doi.org/10.1007/978-3-642-22819-3_6
Mendeley helps you to discover research relevant for your work.