Paper
8 July 2011 An improved video matting technique based on GrabCut
Lei Yang, Chunxi Ma, Xiaoyu Wu, Shaobin Li, Xiaomeng Wang
Author Affiliations +
Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80092S (2011) https://doi.org/10.1117/12.896309
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
Abstract
Now GrabCut algorithm is a comparatively ideal interactive image segmentation method, and it has the advantages of high precision segmentation and low interaction. But so far GrabCut operator is an interactive segmentation method only be used in static images. To solve this problem, this paper proposes a method of video matting, which is based on the GrabCut operator. This method is going to achieve video auto-mating by transmitting the matting result of a frame to the next frame. And this method improves the processing speed. By experiments, this method demonstrates a wonderful segmentation result.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Yang, Chunxi Ma, Xiaoyu Wu, Shaobin Li, and Xiaomeng Wang "An improved video matting technique based on GrabCut", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092S (8 July 2011); https://doi.org/10.1117/12.896309
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Video

Image processing algorithms and systems

Image processing

Color image processing

Data modeling

Binary data

RELATED CONTENT

A semi automatic 2D to stereoscopic 3D image and video...
Proceedings of SPIE (March 12 2013)
Peach fruit recognition method under natural environment
Proceedings of SPIE (August 29 2016)
Colorimetric index-based segmentation for RGB images of whales
Proceedings of SPIE (September 06 2019)
Color document analysis
Proceedings of SPIE (December 28 2001)
Logo recognition in video by line profile classification
Proceedings of SPIE (December 18 2003)

Back to Top