HEVC中基于场景的内部编码KLT

Yiqun Liu, J. Ostermann
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引用次数: 0

摘要

变换编码和量化是当前高效视频编码(HEVC)标准的基础。它们被应用于帧间或帧内预测的残差上。HEVC与高级视频编码(AVC)相比,通过指定变换矩阵,大大提高了编码效率。然而,仍有改进的余地。观察到变换系数的编码占据了流中大部分比特率,因为HEVC中的变换矩阵不能为预测误差提供最佳的能量压缩,特别是对角特征。对于8 × 8和16 × 16变换单元(TU),我们引入了基于场景的Karhunen-Loeve变换(KLT)来代替传统的预测内数据变换。变换矩阵根据预测模式、量化步骤和大小自适应设计和应用。仿真结果表明,使用KLT进一步降低比特率的前景很大,在All-Intra配置下,我们在B类、C类和BVI纹理上的平均比特率分别比HM-16.15提高了3.23%、7.18%和6.25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scene-based KLT for Intra Coding in HEVC
Transform coding and quantization are part of the cornerstones in the current High Efficiency Video Coding (HEVC) standard. They are applied on the residuals from inter-frame or intra predictions. With specified transform matrices, HEVC enhances the coding efficiency vastly compared to Advanced Video Coding (AVC). However, there is still room for improvement. It is observed that the coding of transform coefficients occupies the majority of the bit rate in the stream, since transform matrices in HEVC can not offer the best energy compaction for prediction errors, especially for diagonal features. We introduce scene-based Karhunen-Loeve transform (KLT) in place of the conventional transform for the intra-predicted data for 8 × 8 and 16 × 16 Transform Units (TU). The transform matrices are adaptively designed and later applied according to the prediction modes, quantization steps as well as sizes. The simulation shows great prospect of reducing the bit rate further with KLT, as we gain 3.23%, 7.18% and 6.25% in terms of BD-Rate against HM-16.15 on average for class B, class C and BVI textures respectively, with All-Intra configuration.
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