Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
권호 표지
DOI QR코드

DOI QR Code

Zoom Motion Estimation Method for Depth Video Coding

깊이 영상 부호화에서 신축 움직임 추정 방법

  • Lee, Dong-Seok (Dept. of Computer Software Engineering, Dongeui University) ;
  • Kwon, Soon-Kak (Dept. of Computer Software Engineering, Dongeui University)
  • Received : 2017.09.05
  • Accepted : 2017.10.14
  • Published : 2017.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a method of the zoom motion estimation for the depth video coding. The proposed method calculates the zoom ratio using the average of the depth values in the current block and in the reference block. It resizes the reference block by the zoom ratio and interpolates the reference block to size of the current block. It compares the current block with the reference block that is obtained by subtracting the average of pixels from the current block to the reference block in order to find the reference block that is the best closest one to the current block. The results of the simulation for the proposed method show that the motion estimation errors are significantly reduced.

Keywords

References

  1. D.S. Lee and S.K. Kwon, “A Recognition Method for Moving Objects Using Depth and Color Information,” J ournal of Korea Multimedia Society, Vol. 19, No. 4, pp. 681-688, 2016. https://doi.org/10.9717/kmms.2016.19.4.681
  2. S.K. Kwon and D.S. Lee, “Correction of Perspective Distortion Image Using Depth Information,” Journal of Korea Multimedia Society, Vol. 18, No. 2, pp. 106-112, 2015. https://doi.org/10.9717/kmms.2015.18.2.106
  3. J. Preis, M. Kessel, M. Werner, and C. Linnhoff-Popien, "Gait Recognition with Kinect," Proceeding of the First Workshop on Kinect in Pervasive Computing, pp. P1-P4, 2012.
  4. R.M. Salinas, R.M. Carnicer, F.J.M. Cuevas, and A.C. Poyato, “Depth Silhouettes for Gesture Recognition,” Pattern Recognition Letters, Vol. 29, No. 3, pp. 319-329, 2008. https://doi.org/10.1016/j.patrec.2007.10.011
  5. P. Suryanarayan, A. Subramanian, and D. Mandalapu, "Dynamic Hand Pose Recognition Using Depth Data," Proceeding of 20th International Conference on Pattern Recognition, pp. 3105-3108, 2010.
  6. M. Zollhoefer, M. Martinek, G. Greiner, M. Stamminger, and J. Suessmuth, “Automatic Reconstruction of Personalized Avatars from 3D Face Scans,” Computer Animation and Virtual Worlds, Vol. 22, No. 2-3, pp. 195-202, 2011. https://doi.org/10.1002/cav.405
  7. J. Tong, J. Zhou, L. Liu, Z. Pan, and H. Yan, “Scanning 3D Full Human Bodies Using Kinects,” IEEE Transactions on Visualization and Computer Graphics, Vol. 18, No. 4, pp. 643-650, 2012. https://doi.org/10.1109/TVCG.2012.56
  8. F. Jager, "Simplified Depth Map Intra Coding with An Optional Depth Lookup Table," Proceeding of 2012 International Conference on 3D Imaging, pp. 1-4, 2012.
  9. S. Liu, P. Lai, D. Tian, and C.W. Chen, “New Depth Coding Techniques with Utilization of Corresponding Video,” IEEE Transactions on Broadcasting, Vol. 57, No. 2, pp. 551-561, 2011. https://doi.org/10.1109/TBC.2011.2120750
  10. B.T. Oh, J. Lee, and D.S. Park, "Depth Map Coding Based on Synthesized View Distortion Function," IEEE Journal of Selected Topics in Signal Processing, Vol. 5, No. 7, pp. 1344-1352, 2011. https://doi.org/10.1109/JSTSP.2011.2164893
  11. S.H. Park and J.S. Yoo, "Depth Map Pre-processing Using Gaussian Mixture Model and Mean Shift Filter," Journal of the Korea Institute of Information and Communication Engineering, Vol. 15, No. 5, pp. 1155-1163, 2011. https://doi.org/10.6109/jkiice.2011.15.5.1155
  12. D.S. Lee and S.K. Kwon, "Improvement of Depth Video Coding by Plane Modeling," Journal of the Korea Industrial Information Systems Research, Vol. 21, No. 5, pp. 11-17, 2016. https://doi.org/10.9723/jksiis.2016.21.5.011
  13. S.K. Kwon, D.S. Lee, and Y.H. Park, "Depth Video Coding Method for Spherical Object," Journal of the Korea Industrial Information Systems Research, Vol. 21, No. 6, pp. 23-29, 2016. https://doi.org/10.9723/jksiis.2016.21.6.023
  14. L.M. Po, K.M. Wong, K.W. Cheung, and K.H. Ng, “Subsampled Block-Matching for Zoom Motion Compensated Prediction,” IEEE Transactions on Circuit Systems for Video Technology, Vol. 20, No. 11, pp. 1625-1637, 2010. https://doi.org/10.1109/TCSVT.2010.2087474
  15. H.S. Kim, J.H. Lee, C.K. Kim, and B.G. Kim, “Zoom Motion Estimation Using Block-Based Fast Local Area Scaling,” IEEE Transactions on Circuit Systems for Video Technology, Vol. 22, No. 9, pp. 1280-1291, 2012. https://doi.org/10.1109/TCSVT.2012.2198137
  16. S. Sorwar, M. Murshed, and L. Dooley, "Fast Global Motion Estimation Using Iterative Least-Square Estimation Technique," Processing of International Conference on Information Communications and Signal processing, pp. 282-286, 2003.
  17. S.K. Kwon, Y.H. Park, and K.R. Kwon, "Zoom Motion Estimation Method by Using Depth Information," Journal of Korea Multimedia Society, Vol. 16, No. 2, pp. 131-137, 2013. https://doi.org/10.9717/kmms.2013.16.2.131
  18. W.S. Jang, O.J. Kwon, and S.K. Kwon, “Adaptive Zoom Motion Estimation Method,” Journal of Korea Multimedia Society, Vol. 17, No. 8, pp. 915-922, 2014. https://doi.org/10.9717/kmms.2014.17.8.915
  19. S. Zhu and K. Ma, “A New Diamond Search Algorithm for Fast Block-matching Motion Estimation,” IEEE Transactions on Image Processing, Vol. 9, No. 2, pp. 287-290, 2000. https://doi.org/10.1109/83.821744
  20. S.K. Kwon, A. Tamhankar, and K.R. Rao, "Overview of H.264/MPEG-4 Part 10," Journal of Visual Communication and Image Representation, Vol. 17, No. 2, pp. 186-216, 2006. https://doi.org/10.1016/j.jvcir.2005.05.010
  21. K. Lai, L. Bo, X. Ren, and D. Fox, "A Large-Scale Hierarchical Multi-view RGB-D Object Dataset," Processing of IEEE International Conference on Robotics and Automation, pp. 1817-1824, 2011.