The Edge Feature Subtraction for Completing Video Matting
| Autor: | Jehad A. H. Hammad, Meidya Koeshardianto, Joan Santoso, Fachrul Kurniawan, Eza Rahmanita, Eric Sugiharto Honggara |
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| Rok vydání: | 2021 |
| Předmět: |
Ground truth
Channel (digital image) Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Subtraction Process (computing) 020207 software engineering 02 engineering and technology Feature (computer vision) Computer Science::Multimedia 0202 electrical engineering electronic engineering information engineering RGB color model 020201 artificial intelligence & image processing Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | 2021 3rd East Indonesia Conference on Computer and Information Technology (EIConCIT). |
| DOI: | 10.1109/eiconcit50028.2021.9431869 |
| Popis: | An automatic video matting method based on unsupervised matting using edge feature is proposed in this paper. Extract foreground and background objects from video sequences is an essential task as video matting. But it needs an automatic process to determine foreground and background area so the human effort can be reduced. We proposed a method to decide mechanical constraints using edge features on video matting. Edge features are used to find a gradient vector from each RGB color channel to obtain automatic scribbles. Comparing the results, alpha matte from our proposed method with ground truth has less than 0,01 in the MAE score. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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