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Local curve fitting based Lagrange multiplier selection for Id-slice in multi-view video coding
Authors:Shi-fang Xu  Guo-bin Chen  Hua-dong Pan  Ji-lin Liu
Institution:(1) Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China
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. Project (Nos. 60505017 and 60534070) supported by the National Natural Science Foundation of China
Keywords:Id-slice  Lagrange multiplier  Local curve fitting  Multi-view video coding (MVC)
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