한국인터넷방송통신학회논문지 (The Journal of the Institute of Internet, Broadcasting and Communication)

  • 제14권4호
  • /
  • Pages.29-37
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  • 2014
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  • 2289-0238(pISSN)
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  • 2289-0246(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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계층적 깊이 영상으로 표현된 다시점 영상의 효과적인 압축 기술

Effective Compression Technique of Multi-view Image expressed by Layered Depth Image

  • 지인호 (홍익대학교 컴퓨터정보통신공학과)
  • Jee, Inn-Ho (Dept. of Computer & Information Communications Engineering, Hongik University)
  • 투고 : 2014.07.10
  • 심사 : 2014.08.08
  • 발행 : 2014.08.31
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초록

다시점 비디오는 카메라 수만큼의 컬러영상들과 깊이 영상들이 존재하므로 막대한 양의 데이터를 갖게 되어서, 그 양을 줄이는 새로운 압축 기술 개발이 필수적이다. 최근 계층적 깊이 영상(Layered Depth Image : LDI)의 개념을 이용하여 깊이 정보를 포함하는 다시점 비디오를 효과적으로 압축 부호화하는 기술이 주목 받고 있다. 이 방법은 여러 시점의 깊이 정보와 워핑(warping) 함수를 사용하여 다시점의 컬러와 깊이 영상을 합성하여 하나의 데이터 구조를 만드는 방법이다. 본 논문에서는 계층적 깊이 영상에서 실제 거리를 이용하고 오버랩(overlap) 문제를 해결하고 그리고 컬러 변환을 기반으로 복원을 위해서 추가되는 데이터의 양을 감소시켜 압축 성능을 향상시키는 방법을 제안하였다.

Since multi-view video exists a number of camera color image and depth image, it has a huge of data. Thus, a new compression technique is indispensable for reducing this data. Recently, the effective compression encoding technique for multi-view video that used in layered depth image concepts is a remarkable. This method uses several view point of depth information and warping function, synthesizes multi-view color and depth image, becomes one data structure. In this paper we use actual distance for solving overlap in layered depth image that reduce required data for reconstructing in color-based transform. In experimental results, we confirmed high compression performance and good quality of reconstructed image.

키워드

참고문헌

  1. Seung-Uk Yoon, and Yo-Sung Ho "Multiple color and depth video coding using a hierarchical representation," Vol.17.11 Nov. 2007, pp. 1450-1460. https://doi.org/10.1109/TCSVT.2007.905363
  2. J. Shade, S. J. Gortler, L. W. He, and R. Szeliski, "Layered depth images," in Proc. SIGGRAPH'98, Jul. 1998, pp. 231-242.
  3. S. U. Yoon, S. Y. Kim, E. K. Lee, and Y. S. Ho, "A framework for multi-view video coding using layered depth images," Lecture Notes Comput. Sci. (LNCS), vol. 3767, pp. 431-442, Nov. 2005.
  4. S. U. Yoon, S. Y. Kim, E. K. Lee, and Y. S. Ho, "A framework for representation and processing of multi-view video using the concept of layered depth image," J. VLSI Signal Process. Syst., vol. 46, no. 2-3, pp. 432-441, Mar. 2007.
  5. S. U. Yoon, S. Y. Kim, and Y. S. Ho, "Preprocessing of depth and color information for layered depth image coding," Lecture Notes Comput. Sci. (LNCS), vol. 3333, pp. 622-699, Nov. 2004.
  6. C. L. Zitnick, S. B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski, "High-quality video view interpolation using a layered representation," ACM Trans. Graph., vol. 23, no. 3, pp. 600-608, Aug. 2004. https://doi.org/10.1145/1015706.1015766
  7. Interactive visual media group at Microsoft Research [Online]. Available: http://research.microsoft.com/vision/InteractiveVisualMediaGroup/3DVideoDownload/
  8. S. U. Yoon, E. K. Lee, S. Y. Kim, Y. S. Ho, K. Yun, S. Cho, and N. Hur, "Inter-camera coding of multi-view video using layered depth image representation," Lecture Notes Comput. Sci. (LNCS), vol. 4261, pp. 432-441, 2006.
  9. Martin Vetterli and Jelena Kovacevic, Wavelets and Subband Coding, Prentice-Hall, Inc. 1995.
  10. Jong-Hong Shin and Innho Jee, "H.264 encoding technique of multi-view video expressed by layered depth image,'' Journal of Internet, Broadcasting and Communication, vol. 14, no. 2, pp. 43-51, April. 2014. https://doi.org/10.7236/JIIBC.2014.14.2.43
  11. Jung-Ho Kim, Soon Chul Kwon, Kwang Chul Son, Chae Bong Sohn, and Seung Hyun Lee, "Effect of 2Dimesion and 3Dimension Images on Human Factors,'' International Journal of Internet, Broadcasting and Communication vol. 6, no. 1, pp. 11-13, 2014.
  12. Won-ill Kim, "A study on the smoothing method for efficient video stream transmission on IPTV network,'' International Journal of Internet, Broadcasting and Communication vol. 3, no. 2, pp. 16-25, 2011.

피인용 문헌

  1. A Study on Improved Image Matching Method using the CUDA Computing vol.16, pp.4, 2015, https://doi.org/10.5762/KAIS.2015.16.4.2749
  2. Video Compression Method Using SURF Feature and Block Shaping vol.15, pp.4, 2015, https://doi.org/10.7236/JIIBC.2015.15.4.161