| Paper: | WP-L2.7 |
| Session: | Image and Video Segmentation VI |
| Time: | Wednesday, September 19, 16:50 - 17:10 |
| Presentation: |
Lecture
|
| Title: |
IMAGE MATTING IN THE FRAMEWORK OF QUANTIFICATION IV |
| Authors: |
Takumi Kobayashi; National Institute of Advanced Industrial Science and Technology | | |
| | Tadaaki Hosaka; National Institute of Advanced Industrial Science and Technology | | |
| | Nobuyuki Otsu; National Institute of Advanced Industrial Science and Technology | | |
| Abstract: |
Image matting and segmentation, which are used to extract a foreground object from the background, are primary techniques for digital image and video editing. In digital matting, the transparency of the foreground object is considered, while segmentation performs a rigid extraction of the object. Recently, several algorithms for matting and segmentation problems have been proposed and have provided high-quality results. In this paper, we propose a unified formulation for image matting in the framework of the method of Quantification IV based on a review of the previous studies from this framework. Our method also utilizes discriminative information provided by a user (a few strokes drawn by the user). The experimental results show a favorable matting performance. |
