Enhanced video compression with region-based texture models

Fan Zhang, D. Bull
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引用次数: 8

Abstract

This paper presents a region-based video compression algorithm based on texture warping and synthesis. Instead of encoding whole images or prediction residuals after translational motion estimation, this algorithm employs a perspective motion model to warp static textures and uses a texture synthesis approach to synthesise dynamic textures. Spatial and temporal artefacts are prevented by an in-loop video quality assessment module. The proposed method has been integrated into an H.264 video coding framework. The results show significant bitrate savings, up to 55%, compared with H.264, for similar visual quality.
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基于区域纹理模型的增强视频压缩
提出了一种基于纹理变形和合成的基于区域的视频压缩算法。该算法不需要对整幅图像进行编码,也不需要对平移运动估计后的残差进行预测,而是采用透视运动模型对静态纹理进行翘曲,采用纹理合成方法对动态纹理进行合成。通过循环视频质量评估模块防止空间和时间伪影。该方法已被集成到H.264视频编码框架中。结果显示,在相同的视觉质量下,与H.264相比,比特率节省了55%。
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