分布式视频编码中改进的边信息运动估计方法

Shujun Huang, Yinwei Zhan
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引用次数: 0

摘要

分布式视频编码(DVC)是一种基于Slepian-Wolf和Wyner-Ziv信息定理的新型视频压缩技术,具有编码简单,解码复杂的特点。副信息是DVC的主要组成部分。它会影响解码的性能。本文提出了一种改进的边信息运动估计方案。该方案将前向运动估计和双向运动估计与卡尔曼滤波相结合,降低了运动矢量的计算复杂度。实验表明,与传统的运动估计方法相比,该方法可以提高图像的边信息质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Motion Estimation Scheme for Side Information in Distributed Video Coding
Distributed Video Coding (DVC) is a new video compression technique based on Slepian-Wolf and Wyner-Ziv information theorems with the characteristics of simple encoding and complicated decoding. Side information is a major component of the DVC. It impacts the performance of decoding. In the paper, we propose an improved motion estimation scheme for the side information. The scheme integrates forward motion estimation and bidirectional motion estimation with Kalman filter in order to reduce the complexity in computing the motion vector. Experiments show that the quality of the side information can be enhanced by using the proposed scheme, comparing with the traditional motion estimation schemes.
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