首页> 外文会议>IEEE International Conference on Image Processing >EDGE ADAPTIVE GRAPH-BASED TRANSFORMS: COMPARISON OF STEP/RAMP EDGE MODELS FOR VIDEO COMPRESSION
【24h】

EDGE ADAPTIVE GRAPH-BASED TRANSFORMS: COMPARISON OF STEP/RAMP EDGE MODELS FOR VIDEO COMPRESSION

机译:基于边缘自适应图形的变换:视频压缩的步骤/斜坡边缘模型的比较

获取原文

摘要

In this paper, we propose a new edge model for edge adaptive graph-based transforms (EA-GBTs) in video compression. In particular, we consider step and ramp edge models to design graphs used for defining transforms, and compare their performance on coding intra and inter predicted residual blocks. In order to reduce the signaling overhead of block-adaptive coding, a new edge coding method is introduced for the ramp model. Our experimental results show that the proposed methods outperform classical DCT-based encoding and that ramp edge models provide better performance than step edge models for intra predicted residuals.
机译:在本文中,我们提出了一个新的基于Adaptive图形的变换(EA-GBT)的新边缘模型,在视频压缩中。特别是,我们将步骤和斜坡边缘模型视为设计用于定义变换的图形,并比较它们在编码内部和预测的残差块上的性能。为了降低块自适应编码的信令开销,引入了斜坡模型的新边缘编码方法。我们的实验结果表明,所提出的方法优于基于经典的DCT的编码,并且斜坡边缘模型提供比帧内预测残差的步进边缘模型更好的性能。

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