Abstract
A depth image represents a relative distance from a camera to an object in the three-dimensional (3-D) space and it is widely used as 3-D information in computer vision and computer graphics. Generally, the depth is represented as an image format and it is uniformly quantized in the disparity/intensity domain whereas it is non-uniformly quantized in the depth domain. Thus, the conventional bi-prediction applied in the disparity/intensity domain does not catch up the value for the linearly moving object. To solve this problem, we propose a non-linear bi-directional prediction for depth coding. Experimental results demonstrate that the proposed non-linear bi-directional prediction method achieves by 0.68 dB of the PSNR gain over the conventional method when the hierarchical-B picture coding is used.
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Oh, KJ., Ho, YS. (2009). Non-linear Bi-directional Prediction for Depth Coding. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_46
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DOI: https://doi.org/10.1007/978-3-642-10467-1_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
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