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논문검색

Automatic Frame Composition Using Histogram Based Graph Cut

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

저자정보

  • 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

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