TY - GEN
T1 - Interactive video layer decomposition and matting
AU - Li, Yanli
AU - Zhou, Zhong
AU - Wu, Wei
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/80053125735
U2 - 10.1007/978-3-642-22819-3_6
DO - 10.1007/978-3-642-22819-3_6
M3 - 会议稿件
AN - SCOPUS:80053125735
SN - 9783642228186
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 52
EP - 61
BT - Computer Vision - ACCV 2010 Workshops - ACCV 2010 International Workshops, Revised Selected Papers
T2 - International Workshops on Computer Vision, ACCV 2010
Y2 - 8 November 2010 through 9 November 2010
ER -