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Local curve fitting based Lagrange multiplier selection for Id-slice in multi-view video coding

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Abstract

The rate and distortion of Id-slice do not fit the globally linear relationship on a logarithmic scale. Lagrange multiplier selection methods based on the globally linear approximate relationship are neither efficient nor optimal for multi-view video coding (MVC). To improve the coding efficiency of MVC, a local curve fitting based Lagrange multiplier selection method is proposed in this paper, where Lagrange multipliers are selected according to the local slopes of the approximate curves. Experimental results showed that the proposed method improves the coding efficiency. Up to 2.5 dB gain was achieved at low bitrates.

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Correspondence to Shi-fang Xu.

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Project (Nos. 60505017 and 60534070) supported by the National Natural Science Foundation of China

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Xu, Sf., Chen, Gb., Pan, Hd. et al. Local curve fitting based Lagrange multiplier selection for Id-slice in multi-view video coding. J. Zhejiang Univ. Sci. A 10, 778–785 (2009). https://doi.org/10.1631/jzus.A0820632

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