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Asymmetric Representation for 3D Panoramic Video

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Advances in Multimedia Information Processing – PCM 2017 (PCM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10735))

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Abstract

The 3D panoramic video provides an immersive stereo visual experience by presenting 3D omnidirectional videos of real-world scenes. The key challenge is to develop an efficient representation of 3D panoramic video in order to maximize coding efficiency. In this paper, we propose an asymmetric representation based on the binocular suppression theory that in a stereo sequence, where the sharpness of left-eye and right-eye view differ, the perceived binocular quality of a stereoscopic sequence is rated close to the sharper view. According to the theory, in our method, one view is down-sampled to half size of original sequence in horizontal and vertical direction, and the other keeps the original resolution. To improve the quality of the reconstructed 3D panoramic video, we propose an anti-aliasing method based on detail blurring. Experimental results show that our representation can get significant coding gains (26.13%) over side-by-side and top-and-bottom method with full resolution.

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Acknowledgement

Thanks to National Natural Science Foundation of China 61672063, 61370115, China 863 project of 2015AA015905, Shenzhen Peacock Plan, Shenzhen Research Projects of JCYJ20160506172227337 and GGFW2017041215130858, and Guangdong Province Projects of 2014B010117007 and 2014B090910001 for funding.

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Correspondence to Ronggang Wang .

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Xu, G., Wang, Y., Wang, Z., Wang, R. (2018). Asymmetric Representation for 3D Panoramic Video. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10735. Springer, Cham. https://doi.org/10.1007/978-3-319-77380-3_65

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  • DOI: https://doi.org/10.1007/978-3-319-77380-3_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77379-7

  • Online ISBN: 978-3-319-77380-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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