NDLI: Real-time video chroma keying: a parallel approach based on local texture and global colour distribution

Content Provider	IET Digital Library
Author	Yin, Ling Wang, Wenyi Zhao, Jiying
Abstract	This study presents an automatic, human perception based chroma-keying algorithm that extracts the objects of interest (i.e. foreground) from monochromatic background. Given an image to be chroma keyed, the global colour distribution and the local texture property are analysed in CIECAM02 colour appearance model. After the analysis, input image is automatically segmented into three parts: foreground, background, and uncertain regions. Afterwards, the background colour is propagated from known background to uncertain region by using interpolation functions; and the foreground colour is estimated based on global colour distribution and a linear cost criteria. The quantitative and perceptual comparisons on the matting results show that the proposed method can reliably remove the background region, correctly restore the intrinsic foreground colour, and accurately keep the fine details. In addition, the authors implement the proposed method on a heterogeneous parallel computing architecture which efficiently distributes the workload among different processors. The simulation results show that the foreground objects can be accurately extracted from high-definition and/or ultra-high-definition videos in real time.
Starting Page	638
Ending Page	645
Page Count	8
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 9, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0450
Journal	IET Image Processing
Publisher Date	2016-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CIECAM02 Colour Appearance Model Computer Vision And Image Processing Technique Feature Extraction Global Colour Distribution Human Perception Image Colour Analysis Image Recognition Image Segmentation Image Texture Interpolation Interpolation And Function Approximation Interpolation Function Local Texture Monochromatic Background Numerical Analysis Video Chroma Keying Video Signal Processing Visual Perception
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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