Joint complexity and rate optimization for 3DTV depth map encoding

S. V. Leuven, H. Kalva, G. Wallendael, J. D. Cock, R. Walle
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引用次数: 1

Abstract

Current research towards 3D video compression within MPEG requires the compression of three texture and depth views. To reduce the additional complexity and bit rate of the depth map encoding, we present a fast mode decision model based on previously encoded macroblocks of the texture view. Meanwhile we present techniques to reduce the rate based on predicting syntax elements from the corresponding texture view. The proposed system is able to get a reduction in complexity of 71.08% with an average bit rate gain of 4.35%.
3DTV深度图编码的联合复杂度和速率优化
目前对MPEG内三维视频压缩的研究要求压缩三个纹理和深度视图。为了降低深度图编码的额外复杂度和比特率,我们提出了一种基于纹理视图先前编码的宏块的快速模式决策模型。同时,我们提出了基于从相应纹理视图中预测语法元素来降低错误率的技术。该系统的复杂度降低了71.08%,平均比特率增加了4.35%。
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