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SSIM Assisted Pseudo-sequence-based Prediction Structure for Light Field Video Compression

机译:基于SSIM的基于伪序列的光场视频压缩预测结构

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This paper proposes a novel Structural Similarity Index (SSIM) assisted pseudo-sequence-based (PSB) coding order and prediction structure for improved compression and random-access efficiency for light field videos (LFV). The experimental analysis compares the performance of the proposed method against two recent PSB LFV compression methods in terms of PSNR gain. The results demonstrate the proposed technique yields improved bitrate and better random-access to views compared to existing methods.
机译:本文提出了一种新颖的结构相似性索引(SSIM)辅助的基于伪序列的(PSB)编码顺序和预测结构,以提高光场视频(LFV)的压缩和随机访问效率。实验分析在PSNR增益方面将所提出的方法与两种最新的PSB LFV压缩方法的性能进行了比较。结果表明,与现有方法相比,所提出的技术产生了更高的比特率和更好的对视图的随机访问。

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