A Parametric Framework for Video Compression Using Region-Based Texture Models
A Parametric Framework for Video Compression Using Region-Based Texture Models
复制标题
使用基于区域的纹理模型的视频压缩参数化框架
DOI：
10.1109/jstsp.2011.2165201
复制
发表时间：
2011
影响因子：
7.5
通讯作者：
D. Bull
中科院分区：
文献类型：
--
作者：
Fan Zhang;D. Bull
本文提出了一种基于纹理扭曲和合成的视频压缩新方法。我们的算法不是在平移运动估计后对整个图像或预测残差进行编码，而是采用透视运动模型来扭曲静态纹理并利用纹理合成来创建动态纹理。使用从复小波变换导出的特征对纹理区域进行分割，并根据其空间和时间特征进一步分类。此外，还提出了一种兼容的基于伪影的视频度量（AVM），用于评估重建视频的质量。这也在循环中使用，以防止扭曲和合成伪影。所提出的算法已集成到 H.264 视频编码框架中。结果显示，在相同的客观质量（基于 AVM）和主观分数下，比特率显着降低，与 H.264 相比，比特率节省高达 60%。
This paper presents a novel means of video compression based on texture warping and synthesis. Instead of encoding whole images or prediction residuals after translational motion estimation, our algorithm employs a perspective motion model to warp static textures and utilizes texture synthesis to create dynamic textures. Texture regions are segmented using features derived from the complex wavelet transform and further classified according to their spatial and temporal characteristics. Moreover, a compatible artifact-based video metric (AVM) is proposed with which to evaluate the quality of the reconstructed video. This is also employed in-loop to prevent warping and synthesis artifacts. The proposed algorithm has been integrated into an H.264 video coding framework. The results show significant bitrate savings, of up to 60% compared with H.264 at the same objective quality (based on AVM) and subjective scores.