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Layered Depth Image Based HEVC Multi-view Codec

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Advances in Visual Computing (ISVC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8888))

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Abstract

Multi-view video has gained widespread popularity in the recent years. 3DTV, surveillance, immersive teleconferencing and free view-point television are few notable applications of multi-view video. Excessive storage and transmission bandwidth requirements are the major challenges faced by the industry in facilitating multi-view video applications. This paper presents efficient tools for coding of multi-view video based on the state of the art single view video coding standard H.265/HEVC (High Efficiency Video Coding). Our approach employs the LDI (Layered Depth Image) representation technique which is capable of compactly representing 3D scene content. We propose techniques and algorithms for LDI construction, view synthesis, efficient coding of LDI layers and associated auxiliary information. Subjective assessments indicate that our approach offers more than 50% reduction in bitrate compared to HEVC simulcast for the same subjective quality under practical operating bitrates.

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References

  1. Vetro, A., Wiegand, T., Sullivan, G.: Overview of the stereo and multiview video coding extensions of the h.264/mpeg-4 avc standard. Proceedings of the IEEE 99, 626–642 (2011)

    Article  Google Scholar 

  2. Stankowski, J., Domanski, M., Stankiewicz, O., Konieczny, J., Siast, J., Wegner, K.: Extensions of the hevc technology for efficient multiview video coding. In: 2012 19th IEEE International Conference on Image Processing (ICIP), pp. 225–228 (2012)

    Google Scholar 

  3. Gautier, J., Bosc, E., Morin, L.: Representation and coding of 3d video data. Perceptual Patterns 2D and 3D Video Coding (2010)

    Google Scholar 

  4. Yoon, S.U., Lee, E.K., Kim, S.Y., Ho, Y.S., Yun, K., Cho, S., Hur, N.: Coding of layered depth images representing multiple viewpoint video. In: Proceedings of Picture Coding Symposium (PCS) SS3-2, 1–6 (2006)

    Google Scholar 

  5. Yoon, S.U., Lee, E.K., Kim, S.Y., Ho, Y.S.: A framework for representation and processing of multi-view video using the concept of layered depth image. VLSI Signal Processing 46, 87–102 (2007)

    Article  Google Scholar 

  6. Jantet, V.: Layered Depth Images for Multi-view Coding. PhD thesis, University of Rennes 1, Rennes, France (2012)

    Google Scholar 

  7. Duan, J., Li, J.: Compression of the layered depth image. IEEE Transactions on Image Processing 12, 365–372 (2003)

    Article  Google Scholar 

  8. Nguyen, C.V., Izadi, S., Lovell, D.: Modeling kinect sensor noise for improved 3d reconstruction and tracking. In: IEEE 3DIMPVT, pp. 524–530 (2012)

    Google Scholar 

  9. Fukushima, N., Inoue, T., Ishibashi, Y.: Removing depth map coding distortion by using post filter set. In: 2013 IEEE International Conference on Multimedia and Expo (ICME), 1–6 (2013)

    Google Scholar 

  10. Muller, K., Merkle, P., Tech, G., Wiegand, T.: 3d video coding with depth modeling modes and view synthesis optimization. In: Proceedings of APSIPA Annual Summit and Conference 2012 (2012)

    Google Scholar 

  11. Sullivan, G.J., Ohm, J.R., Han, W., Wiegand, T.: Overview of the high efficiency video coding (hevc) standard. IEEE Trans. Circuits Syst. Video Techn. 22, 1649–1668 (2012)

    Article  Google Scholar 

  12. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 629–639 (1990)

    Article  Google Scholar 

  13. Zitnick, C.L., Kang, S.B., Uyttendaele, M., Winder, S.A.J., Szeliski, R.: High-quality video view interpolation using a layered representation. ACM Trans. Graph. 23, 600–608 (2004)

    Article  Google Scholar 

  14. Seshadrinathan, K., Soundararajan, R., Bovik, A., Cormack, L.: Study of subjective and objective quality assessment of video. IEEE Transactions on Image Processing 19, 1427–1441 (2010)

    Article  MathSciNet  Google Scholar 

  15. Laboratories, N.N.T.: Video quality assessment methods. ntt.co.jp. http://www.ntt.co.jp/qos/qoe/eng/technology/visual/01_5.html (accessed:2014 )

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Author information

Authors and Affiliations

  1. Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka

    S. Kirshanthan, L. Lajanugen, P. N. D. Panagoda, L. P. Wijesinghe & A. A. Pasqual

  2. University of Surrey, UK

    D. V. S. X. De Silva

Authors
  1. S. Kirshanthan
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  2. L. Lajanugen
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  3. P. N. D. Panagoda
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  4. L. P. Wijesinghe
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  5. D. V. S. X. De Silva
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  6. A. A. Pasqual
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada at Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. The University of Texas at Dallas, 75080, Richardson, TX, USA

    Ryan McMahan

  6. NextGen Interactions, 27604, Raleigh, NC, USA

    Jason Jerald

  7. Indiana University, 46202, Indianapolis, IN, USA

    Hui Zhang

  8. Microsoft Research, 1 Microsoft Way, 98052, Redmond, WA, USA

    Steven M. Drucker

  9. University of Delaware, 19716-2712, Newark, DE, USA

    Chandra Kambhamettu

  10. Intel Corp., 95054, Sata Clara, CA, USA

    Maha El Choubassi

  11. Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, 77004, Houston, TX, USA

    Zhigang Deng

  12. NVIDIA, 34788, Leesburg, FL, USA

    Mark Carlson

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© 2014 Springer International Publishing Switzerland

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Kirshanthan, S., Lajanugen, L., Panagoda, P.N.D., Wijesinghe, L.P., De Silva, D.V.S.X., Pasqual, A.A. (2014). Layered Depth Image Based HEVC Multi-view Codec. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_36

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  • DOI: https://doi.org/10.1007/978-3-319-14364-4_36

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14363-7

  • Online ISBN: 978-3-319-14364-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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