Hybrid color image segmentation based fully automatic chroma-keying system with cluttered background

Authors:
Li Shijin;Zhu Yuelong;Yang Qian;Liu Zhe
Affiliations:
School of Computers and Information Engineering, HOHAI University, Nanjing, P.R. China;School of Computers and Information Engineering, HOHAI University, Nanjing, P.R. China;School of Computers and Information Engineering, HOHAI University, Nanjing, P.R. China;School of Computers and Information Engineering, HOHAI University, Nanjing, P.R. China
Venue:
Intelligent information processing II
Year:
2004

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Abstract

In this paper, we present a fully automatic digital chroma-keying system, which is based on the integration of color image segmentation algorithm and improved alpha estimation technique. Chroma-keying is a critical technology in virtual studio system. When used with cluttered background, it calls for much intelligence. According to the characteristics of frame images in the target application, a hybrid color image segmentation algorithm is put forward, which makes good use of both chromatic and luminance information. Then, refinement measures are further taken to deal with the color distribution in the neighborhood of the boundary through modified Ruzon-Tomasi alpha estimation algorithm. In contrast to the previously reported methods, our system needs no human interaction in the whole procedure. Experimental results on China sports lottery TV programs show that the proposed fully automatic keying system is viable and can be applied to the real program post production process of TV stations.