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Complexity Reduction for Depth Map Coding in 3D-HEVC

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Pattern Recognition and Computer Vision (PRCV 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11858))

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Abstract

3D-HEVC is an emerging coding standard for the compression of multi-view video plus depth data. In 3D-HEVC, Depth Modeling Modes (DMMs) searching and coding unit (CU) partition consume a large proportion of the 3D-HEVC encoding complexity. This paper proposes techniques to speed up 3D-HEVC depth intra mode decision and early terminated depth CU partition. The feature of the smooth pixel block can directly skip the DMM without segmentation. The method of this paper is to determine whether the pixel block is smooth in advance. This technique takes advantage of the fact that after the smooth pixel block is subjected to wavelet transform (WT), the high-frequency coefficient of the new matrix are all zeros. If not, then judge whether the variance of the pixel values on the four sides of the pixel block is less than a given threshold. Experimental results show that the proposed algorithm can achieve on average 23.3% time reduction, with a distinguished BD-rate decrease of 1.3% on synthesized views.

This work is supported by the National Natural Science Foundation of China (No. 61471150, No. 61501402, No. U1509216), the Key Program of Zhejiang Provincial Natural Science Foundation of China (No. LZ14F020003). Thanks for support and assistance from Key Laboratory of Network Multimedia Technology of Zhejiang Province. Student paper.

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Correspondence to Hua Zhang .

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Yu, S., Dai, G., Zhang, H., Huang, H. (2019). Complexity Reduction for Depth Map Coding in 3D-HEVC. In: Lin, Z., et al. Pattern Recognition and Computer Vision. PRCV 2019. Lecture Notes in Computer Science(), vol 11858. Springer, Cham. https://doi.org/10.1007/978-3-030-31723-2_67

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  • DOI: https://doi.org/10.1007/978-3-030-31723-2_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31722-5

  • Online ISBN: 978-3-030-31723-2

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