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Efficient Multiview Video Coding Based on MPEG-4

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3333))

Abstract

In this paper, we propose an MPEG-4 based multiview video encoder. The main view of the sequences is encoded using the MPEG-4 encoder and the auxiliary views are encoded by joint motion and disparity compensation. The output of the encoder contains multiple bitstreams and the main bitstream can be decoded by a standard MPEG-4 decoder. Extensive experimental results show that our proposed multiview coding can achieve significant performance gain over the conventional multiview video encoder, which is implemented by applying the concept of the MPEG-2 Multi-View Profile (MVP) on the MPEG-4 platform. The improvements come from a more efficient reference structure and the joint estimation of disparity and motion fields in our proposed multiview coding system. In addition, in the case of five-view encoding, we also compare four different prediction structures in order to find the best structure under certain scenarios. The proposed encoder is very promising for the applications of video-conferencing and 3D telepresence.

This project is funded by the University Academic Research Fund (URC) RG3/02 – Depth-Based Video Segmentation of Nanyang Technological University, Singapore.

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References

  1. Smolic, A., Kimata, H.: Applications and requirements for 3DAV. ISO/IEC JTC1/SC29/WG11 N5877 (July 2003)

    Google Scholar 

  2. Siegel, M.W., Sethuraman, S., McVeigh, J.S., Jordan, A.G.: Compression and interpolation of 3D-stereoscopic and multi-view video. In: Proceedings of the SPIE Stereoscopic Displays and Virtual Reality Systems IV, February 1997, vol. 3012, pp. 227–238 (1997)

    Google Scholar 

  3. Puri, A., Kollarits, R.V., Haskell, B.G.: Stereoscopic video compression using temporal scalability. Visual Communication: Image Processing 2501, 745–756 (1995)

    Google Scholar 

  4. Chen, X., Luthra, A.: MPEG-2 multi-view profile and its application in 3DTV. SPIE/IS&T Multimedia Hardware Architectures, 212–223 (February 1997)

    Google Scholar 

  5. Yan, L., Zhaoyang, Z., Ping, A.: Stereo video coding based on frame estimation and interpolation. IEEE Trans. on Broadcasting 49(1), 14–21 (2003)

    Article  Google Scholar 

  6. Yang, W., Ngan, K.N.: MPEG-4 based stereoscopic video sequences encoder. In: IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP (May 2004)

    Google Scholar 

  7. Kim, H.S., Sohn, K.H.: Feature-based disparity estimation for intermediate view reconstruction of multiview images. In: International Conference on Imaging Science, Systems, and Technology, June 2001, vol. 2, pp. 1–8 (2001)

    Google Scholar 

  8. Li, W., Ohm, J.-R., van der Schaar, M., Jiang, H., Li, S.: MPEG- 4 video verification model version 18.0. ISO/IEC JTC1/SC29/WG11 N3908 (January 2001)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Yang, W., Ngan, K.N., Cai, J. (2004). Efficient Multiview Video Coding Based on MPEG-4. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_22

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  • DOI: https://doi.org/10.1007/978-3-540-30543-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23985-7

  • Online ISBN: 978-3-540-30543-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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