Efficient Prediction Structure for View Scalability in 3DVC

نویسندگان

  • Jinmi Kang
  • Kidong Chung
چکیده

With the development of 3D devices such as TV, monitors, and mobile phones, 3D display can support multiple viewpoints in the user's terminal. For these applications, higher coding efficiency for stored or transmitted data is significant, since the number of views has been increased with the technical development of 3D display. To adapt the coder to 2D and diverse views devices, it is important to support view scalability in 3DVC. In this paper, we propose a prediction structure of 3D video to support view scalability considering reliable performance in coding efficiency. In order to use correlation between color video and depth map, an interlayer prediction structure in SVC is applied to 3DVC. It improves the coding efficiency of the additional depth map with supporting the view scalability. The experimental results show that the proposed prediction structure reduces the bitrates by 0.5~8.3% compared with the reference prediction structure, JMVC 8.5.

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تاریخ انتشار 2013