Earticle

초록

영어

In this paper, we present an automatic background composition method using histogram-based graph cut. The proposed method consists of four steps: i) initial label map generation, ii) label map update, iii) object extraction by segmentation, and iv) dynamic background composition. Since the proposed method can minimize the user interaction for generating the initial label map and updating, it is suitable for simple interaction using a low-speed processor and limited memory space. Experimental results show that the proposed method provides better segmentation results compared with existing state-of-the-art methods with significantly reduced computational complexity. The proposed automatic object segmentation and background composition method can be applied to video editing, video conference, and video contents creation using low-cost mobile devices such as smart phones, smart TVs, and tablet PCs.

목차

Abstract
 1. Introduction
 2. Automatic Object Segmentation Method
  2.1. Automatic Generation of the Initial Label Map
  2.2. Label Map Update
  2.3. HBGC for Object Segmentation
 3. Background Composition
  3.1. Estimation of Background Motion
  3.2. Refinement of Composite Boundary
 4. Experimental Results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Daehee Kim [ Chung-Ang University, Seoul, Korea ]
• Hyungtae Kim [ Chung-Ang University, Seoul, Korea ]
• Jinho Park [ Chung-Ang University, Seoul, Korea ]
• Donggyun Kim [ Chung-Ang University, Seoul, Korea ]
• Joonki Paik [ Chung-Ang University, Seoul, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605