Abstract
Multiview video coding (MVC) uses exhaustive variable size block mode decision in motion estimation and disparity estimation to improve coding efficiency; however, it causes intensive computational complexity. A fast mode decision algorithm for the non-anchor pictures is proposed to lower computational complexity of MVC. In the proposed algorithm, mode decision is early terminated based on the inter-view mode correlation among neighboring views and motion activity predicted from motion information from checking previous macroblock mode. Experimental results show that the proposed fast mode decision algorithm achieves from 53.67 to 81.75% complexity reduction. Meanwhile, the peak signal-to-noise ratio degradation of the proposed algorithm is 0.046 dB on average and bit rate increases from −2.13% to 0.77%, which are negligible.
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References
Vetro A., Wiegand T., and Sullivan G.: Overview of the stereo and multiview video coding extensions of the H.264/MPEG-4 AVC standard, in Proc. of the IEEE, 2011, 99(4), 626–642 (2011)
Tanimoto M., Tehrani M.P., Fujii T., and Yendo T.: Free-viewpoint TV, IEEE Signal Process. Mag., 28(1), 67–76 (2011)
Smolic A., Mueller K., and Stefanoski N.: Coding algorithms for 3DTV-A survey, IEEE Trans. Circuits Syst. Video Technol., 17(11), 1606–1621 (2007)
Hu S., Zhao T., Wang H. and Kwong S.: Fast inter-mode decision based on rate-distortion cost characteristics, in Proc. PCM’10, LNCS, 145–155 (2010)
Wang H., Kwong S., and Kok C.-W.: An efficient mode decision algorithm for H.264/AVC encoding optimization, IEEE Trans. Multimedia, 9 (4), 882–888 (2007)
Zhao T., Wang H., Kwong S., and Kuo C. C.: Fast mode decision based on mode adaptation, IEEE Trans. Circuits Syst. Video Technol., 20(5), 697–705 (2010)
Peng Z., Yu M., Jiang G., Shao F., Zhang Y., and Yang Y.: Fast macroblock mode selection algorithm for multiview depth video coding, Chin. Opt. Lett., 8(2), 151–154 (2010)
Li X., Zhao D., Ji X., Wang Q., and Gao W.: A fast inter frame prediction algorithm for multi-view video coding, in Proc. ICIP’07, 6(3), 417–420 (2007)
Kuo T., Lai Y., and Lo Y.: Fast mode decision for non-anchor picture in multiview video, in Proc. IEEE BMSB’10, 1–5, (2010)
Yu M., Peng Z., Liu W., Shao F., Jiang G., and Kim Y.: Fast macroblock selection algorithm for multiview video coding based on inter-view global disparity, in Proc. CISP’08, 1(1), 575–578 (2008)
Han D. and Lee Y.: Fast mode decision using global disparity vector for multiview video coding, in Proc. FGCNS’08, 3, 209–213 (2008)
Shen L., Yan T., Liu Z., Zhang Z., An P., and Yang L.: Fast mode decision for multiview video coding, in Proc. ICIP’09, 2953–2956 (2009)
Zhu W., Tian X., Zhou F., and Chen Y.: Fast inter mode decision based on textural segmentation and correlations for multiview video coding, IEEE Trans. Consumer Electron., 56(3), 1696–1704 (2010)
Zhang Y., Jiang G., Yu M., Yang Y., Peng Z. and Chen K.: Depth perceptual region-of-interest based multiview video coding, J. Vis. Comm. Image R., 21(5–6), 498–512 (2010)
Acknowledgments
This work was supported by Natural Science Foundation of China (Grant No. 61102088, 61070147), in part by the Hong Kong Research Grants Council General Research Fund, under Project 9041495 (CityU 115109).
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Mao, D., Zhang, Y., Chen, Q., Kwong, S. (2013). Disparity and Motion Activity Based Mode Prediction for Fast Mode Decision in Multiview Video Coding. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_15
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DOI: https://doi.org/10.1007/978-1-4614-3501-3_15
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