首页> 外文会议>IEEE China Summit International Conference on Signal and Information Processing >Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement
【24h】

Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement

机译:基于像素梯度统计和模式优化的HEVC快速帧内预测

获取原文

摘要

High Efficiency Video Coding (HEVC), a successor to H.264, is the next generation video compression standard. To enhance the coding efficiency of video frames, 35 intra prediction modes adopted in Prediction Unit (PU) from 4×4 to 64×64 of HEVC. However, the improvement is based on the cost of rapid increased complexity performance loss. This paper proposed a Pixel Gradient Statistics (PGS) and Mode Refinement (MR) based fast mode decision algorithm. PGS use pixel gradient information to assist prediction mode selection after Rough Mode Decision (RMD). MR utilizes neighboring mode information to select most probable mode (MPM). Experiment result shows that the proposed method performs about 28% time saving with little degradation (BD-rate increase 0.53% and BDPSNR reduce 0.038) in the coding gain.
机译:高效视频编码(HEVC)是H.264的后继产品,是下一代视频压缩标准。为了提高视频帧的编码效率,在预测单元(PU)中采用了35种帧内预测模式,从HEVC的4×4到64×64。但是,这种改进是基于快速增加复杂性性能损失的代价。本文提出了一种基于像素梯度统计(PGS)和模式细化(MR)的快速模式决策算法。 PGS在粗糙模式决策(RMD)之后使用像素梯度信息来辅助预测模式的选择。 MR利用相邻模式信息来选择最可能模式(MPM)。实验结果表明,该方法节省了约28%的时间,编码增益几乎没有下降(BD速率增加了0.53%,BDPSNR减少了0.038)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号