首页> 外文会议>2010 IEEE International Workshop on Multimedia Signal Processing >Motion vector forecast and mapping (MV-FMap) method for entropy coding based video coders
【24h】

Motion vector forecast and mapping (MV-FMap) method for entropy coding based video coders

机译:基于熵编码的视频编码器的运动矢量预测与映射(MV-FMap)方法

获取原文

摘要

Since the finalization of the H.264/AVC standard and in order to meet the target set by both ITU-T and MPEG to define a new standard that reaches 50% bit rate reduction compared to H.264/AVC, many tools have efficiently improved the texture coding and the motion compensation accuracy. These improvements have resulted in increasing the proportion of bit rate allocated to motion information. Thus, the bit rate reduction of this information becomes a key subject of research. This paper proposes a method for motion vector coding based on an adaptive redistribution of motion vector residuals before entropy coding. Motion information is gathered to forecast a list of motion vector residuals which are redistributed to unexpected residuals of lower coding cost. Compared to H.264/AVC, this scheme provides systematic gain on tested sequences, and 2.3% in average, reaching up to 4.9% for a given sequence.
机译:自H.264 / AVC标准完成以来,为了满足ITU-T和MPEG设定的目标,定义了一个新的标准,与H.264 / AVC相比,比特率降低了50%,许多工具已经有效地提高了纹理编码和运动补偿精度。这些改进导致增加了分配给运动信息的比特率的比例。因此,该信息的比特率降低成为研究的关键课题。本文提出了一种基于运动矢量残差在熵编码之前的自适应重新分布的运动矢量编码方法。收集运动信息以预测运动矢量残差的列表,该列表将重新分配给较低编码成本的意外残差。与H.264 / AVC相比,此方案可在测试序列上提供系统增益,平均增益为2.3%,对于给定序列,最高可达4.9%。

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