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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 212))

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Abstract

Layered Depth Video (LDV) is recognized as a promising 3D video data representation format in the form of multiple layer texture-plus-depth video from a reference viewpoint. Due to the uncertainty of effective pixel locations in the occlusion layers and the number of total layers, existing video coding standards cannot be directly used for LDV coding. A new framework for LDV coding is presented in this paper. A novel polynomial approximation based prediction tool is proposed for coding of border macroblocks, which contain both effective and blank pixels in the occlusion layers. Precise borders are reconstructed on the decoder side based on analysis of depth discontinuity, which is well preserved by allocating more bits in encoding. Comparing with the state-of-the-art, the proposed method demonstrates improved rate-distortion performance.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Grant No. 60802013, 61072081), the National High Technology Research and Development Program (863) of China (Grant No. 2012AA011505), the National Science and Technology Major Project of the Ministry of Science and Technology of China (Grant No. 2009ZX01033-001-007), Key Science and Technology Innovation Team of Zhejiang Province, China (Grant No. 2009R50003) and China Postdoctoral Science Foundation (Grant No. 20110491804).

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Correspondence to Zhu Ting .

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© 2013 Springer-Verlag Berlin Heidelberg

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Ting, Z., Li, D., Lianghao, W., Zhang, M. (2013). A New Framework for Layered Depth Video Coding. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34531-9_38

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  • DOI: https://doi.org/10.1007/978-3-642-34531-9_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34530-2

  • Online ISBN: 978-3-642-34531-9

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