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Wavelet Scalable Video Coding with Minimal Average Temporal Distance for Motion Estimation

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Book cover Advances in Artificial Reality and Tele-Existence (ICAT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4282))

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Abstract

Wavelet scalable video coding (WSVC) can be used efficiently for scalable mesh compression for virtual reality applications over IP networks. This paper proposes efficient methods to improve the coding efficiency of WSVC through the minimization of average temporal distance (ATD) for motion estimation. The ATD is closely related to the peak signal-to-noise ratio (PSNR) performance of WSVC which is based on motion compensated temporal filtering. Simulation results show that the proposed methods with minimum ATD give about 1 to 2dB PSNR improvements compared to the conventional WSVC.

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Author information

Authors and Affiliations

  1. Dept. of Internet and Multimedia Eng., Konkuk University, Seoul, 143-701, Korea

    Changhoon Yim

  2. Digital Media R&D Center, Samsung Electronics, Suwon, Kyeonggi-Do, 442-742, Korea

    Hojin Ha, Bae-Keun Lee & Woo-Jin Han

Authors
  1. Changhoon Yim
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  2. Hojin Ha
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  3. Bae-Keun Lee
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  4. Woo-Jin Han
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Editor information

Editors and Affiliations

  1. State Key Lab of CAD and CG, Zhejiang University, Hangzhou, P.R. China

    Zhigeng Pan

  2. Mixed Reality Lab, National University of Singapore, Singapore

    Adrian Cheok

  3. Upper Austria University of Applied Science and Digital Media, Hagenberg, Austria

    Michael Haller

  4. Department of Computer Science, University of Durham, South Road, DH1 3LE, Durham, UK

    Rynson W. H. Lau

  5. Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi Kohoku-ku, 223-8522, Yokohama, Japan

    Hideo Saito

  6. College of Information Engineering, Zhejiang University of Technology, 310032, Hangzhou, P.R. China

    Ronghua Liang

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© 2006 Springer-Verlag Berlin Heidelberg

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Yim, C., Ha, H., Lee, BK., Han, WJ. (2006). Wavelet Scalable Video Coding with Minimal Average Temporal Distance for Motion Estimation. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_62

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  • DOI: https://doi.org/10.1007/11941354_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49776-9

  • Online ISBN: 978-3-540-49779-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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