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首页> 外文期刊>Circuits and Systems for Video Technology, IEEE Transactions on >Depth-Based Texture Coding in AVC-Compatible 3D Video Coding
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Depth-Based Texture Coding in AVC-Compatible 3D Video Coding

机译:兼容AVC的3D视频编码中基于深度的纹理编码

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摘要

The target of 3D video coding is to compress Multiview Video plus Depth (MVD) format data, which consist of a texture image and its corresponding depth map. In the MVD format, the depth map plays an important role for successful services in 3D video applications, because it enables the user to experience 3D by generating arbitrary intermediate views. The depth map has a strong correlation with its associated texture data, so it can be utilized to improve texture coding efficiency. This paper introduces a novel and efficient depth-based texture coding scheme. It includes depth-based motion vector prediction, block-based view synthesis prediction, and adaptive luminance compensation, which were adopted in an AVC-compatible 3D video coding standard. Simulation results demonstrate that the proposed scheme reduces the total coding bitrates of texture and depth by 19.06% for the coded PSNR and 17.01% for the synthesized PSNR in a P-I-P view prediction structure, respectively.
机译:3D视频编码的目标是压缩多视图视频加深度(MVD)格式的数据,该数据由纹理图像及其对应的深度图组成。在MVD格式中,深度图对于3D视频应用中的成功服务起着重要作用,因为它使用户能够通过生成任意中间视图来体验3D。深度图与其关联的纹理数据具有很强的相关性,因此可以用来提高纹理编码效率。本文介绍了一种新颖且有效的基于深度的纹理编码方案。它包括在AVC兼容3D视频编码标准中采用的基于深度的运动矢量预测,基于块的视图合成预测和自适应亮度补偿。仿真结果表明,在P-I-P视图预测结构中,所提出的方案将编码后的PSNR的纹理和深度的总编码比特率分别降低了19.06%和合成PSNR的17.01%。

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