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Fast Intra Mode Decision Algorithm for 3D-HEVC Transcoding

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 82))

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Abstract

To satisfy the popularity of 3D application, 3D-HEVC has been developed as a new video encoding standard for multiviews. What’s more, as the development of internet and mobile services, the use of 3D video application from the big screen to mobile devices become an inevitable trend. So an efficient transcoding for 3D videos is necessary. In 3D-HEVC, 3D video is comprised by multiview video and corresponding depth maps. The computational complexity is further increased caused by depth maps. In order to reduce the computational complexity caused by the mode decision for depth maps, an efficient fast intra mode decision for 3D-HEVC depth maps down-sizing video transcoding based on SVM (support vector machines, SVM) is proposed in this paper. Compared with the HTM16.0 which employs the original intra mode decision, the proposed algorithm can save about 16% of transcoding time without distortion of synthesized intermediate views.

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Acknowledgments

This paper is supported by the Project for the National Natural Science Foundation of China under Grant No. 61672064, the National Key Research and Development Program of China under Grant No. 2016YFB0901200, the Beijing Natural Science Foundation under Grant No. KZ201610005007, 4172001, the China Postdoctoral Science Foundation under Grants No. 2015M580029, 2016T90022, the Beijing Postdoctoral Research Foundation under Grant No. 2015ZZ-23 and Project supported by Chaoyang District of Beijing Postdoctoral Research Foundation under Grant No. 2016ZZ- 01-15.

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Correspondence to PengYu Liu or KeBin Jia .

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Feng, X., Liu, P., Jia, K. (2018). Fast Intra Mode Decision Algorithm for 3D-HEVC Transcoding. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-63859-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

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