Title :
Foreground editing technique to reduce interaction
Author :
Hanyu Xue ; Xinhui Cheng ; Jianjun Wei ; Hongyan Quan
Author_Institution :
Software Eng. Inst., East China Normal Univ., Shanghai, China
Abstract :
In this paper we introduce a method to extract foreground from an image or a video and blend it into another environment. We analyze the weakness of previous algorithms, and propose a new method to improve the automaticity of the algorithm and reduce interactions with users. Self-adaption threshold and segmentation technique are used to preprocess the images or frames. And then we use the image matting and illustration technique to refine the segmentation results. Our method is also suitable for video editing to reduce the users operation. The experiment demonstrates that our algorithm can be used under several challenging scenarios.
Keywords :
feature extraction; image segmentation; video signal processing; foreground editing technique; foreground extraction; frame preprocessing; illustration technique; image matting; image preprocessing; interaction reduction; segmentation technique; self-adaption threshold; user operation reduction; video editing; Algorithm design and analysis; Bayes methods; Equations; Image color analysis; Image segmentation; Robustness; Software engineering; Illustration adjustment; Image matting; Self-adaption threshold;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885186