首页> 外文会议>International Conference on Future Information Technology >A Hierarchical Motion Estimation Based on the Properties of Motion Vectors for Low Complexity in Video Coding
【24h】

A Hierarchical Motion Estimation Based on the Properties of Motion Vectors for Low Complexity in Video Coding

机译:基于运动向量的特性进行分层运动估计,用于视频编码中的低复杂度

获取原文

摘要

To transmit and to store digital video sequences, the compression is vital. Motion Estimation (ME) is generally used to reduce redundant data in video sequences. ME which limits the performance of image quality, bitrates and encoding time require much complexity. To reduce the huge computational complexity, a hierarchical motion estimation method for multi-view video coding is proposed. The proposed method exploits the properties of motion vectors. The characteristic of the distribution of motion vectors is used to place the search points in the search area and to choose a search pattern for the current block. Experiment results show that the complexity reduction of the proposed method over PBS and TZ can be up to 98% and about 45-76% respectively while maintaining image quality and bitrates.
机译:要传输和存储数字视频序列,压缩至关重要。运动估计(ME)通常用于减少视频序列中的冗余数据。我限制了图像质量的性能,比特率和编码时间需要大量复杂性。为了降低巨大的计算复杂性,提出了一种用于多视图视频编码的分层运动估计方法。所提出的方法利用运动向量的性质。运动矢量分布的特征用于在搜索区域中放置搜索点并为当前块选择搜索模式。实验结果表明,在PBS和TZ上提出的方法的复杂性降低可分别高达98%和约45-76%,同时保持图像质量和比特率。

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