Automatic spectral video matting

  • Authors:

  • Wu-Chih Hu;Jung-Fu Hsu

  • Affiliations:

  • Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, #300, Liu-Ho Road, Makung, Penghu 880, Taiwan;Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, #300, Liu-Ho Road, Makung, Penghu 880, Taiwan

  • Venue:
  • Pattern Recognition
  • Year:
  • 2013

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Abstract

This paper proposes automatic spectral video matting based on adaptive component detection and component-matching-based spectral matting. In the proposed automatic spectral video matting, adaptive component detection is used to automatically generate reliable components of a given image according to its complexity. Spectral matting based on the hue difference of components is then used to obtain an accurate alpha matte of the first frame without user intervention. Finally, the component-matching-based spectral matting is used in subsequent frames to obtain automatic video matting. In the proposed video matting method, the reliable components of a given image can be obtained; the accurate alpha mattes of given images can be automatically obtained; and the efficient and accurate video matting can be automatically obtained. Experimental results show that the proposed method outperforms state-of-the-art video matting methods based on spectral matting.