基于运动分布的视频编码动态纹理合成

Olena Chubach, Patrick Garus, M. Wien, J. Ohm
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引用次数: 3

摘要

本文提出了一种改进的视频编码方案,将混合视频编码与基于运动分布统计的纹理合成相结合。考虑到现有的纹理合成方法仅用于对识别出的某一区域内的动态纹理进行合成,而提供了高质量的视觉效果,提出了一种新的框架,可以识别出需要合成的区域,并将传统编码与合成相结合。同时,由于编码结构的更新,提出了一种新的合成参数表示和压缩方法。将该方法与传统编码器(HEVC参考软件HM 16.6)相结合,可以显著降低替换纹理后的压缩视频序列的比特率。此外,由于合成的纹理具有与原始纹理相似的感知特性,因此替换纹理后的视频序列在视觉上也与原始序列相似。在线提供视频结果,以便评估测试内容的视觉质量。
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Motion-Distribution based Dynamic Texture Synthesis for Video Coding
In this paper, a new approach for an improved video coding scheme is presented, which combines hybrid video coding and texture synthesis based on motion distribution statistics. Considering that the utilized texture synthesis approach provides high-quality visual results, while it is developed only for synthe- sizing the identified dynamic textures within a certain area, a new framework is presented, which allows to identify of areas for synthesis and combine conventional coding with synthesis. Also, a new representation and compression of synthesis parameters is presented, which is required due to the updated coding structure. When combining the proposed approach with conventional en- coder (HEVC reference software, HM 16.6), significantly reduced bit rates of the compressed video sequences with the texture replaced can be obtained. Moreover, because the synthesized textures have similar perceptual characteristics to those of the original textures, the video sequences with the texture replaced are also visually similar to the original sequences. Video results are provided online to allow assessing the visual quality of the tested content.
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