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首页> 外文期刊>Journal of visual communication & image representation >An attention emphasized bit arrangement in 3-D SPIHT video coding for human vision
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An attention emphasized bit arrangement in 3-D SPIHT video coding for human vision

机译:着重于人类视觉的3-D SPIHT视频编码中的位排列

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摘要

In recent years. Set Partitioning in Hierarchical Trees (SPIHT) algorithm has performed efficiently on image and video coding. However, in low bit rate situations, on the whole the videos usually have relatively low visual quality while attention is paid on the videos. To improve the problem, this paper proposes Attention Emphasis bit arrangement in 3-D SPIHT video coding algorithm (AE-SPIHT) to rearrange bits efficiently from eye-insensitive regions to eye-sensitive regions, so that the whole video can obtain a better visual condition. AE-SPIHT properly exploits a bit-arrangement method rearranging bits foveately from eye-insensitive regions, according to texture content and bit-rate, to eye-sensitive ones. Experiments show that AE-SPIHT algorithm improves the visual quality of attention regions in conventional 3-D SPIHT in most cases. Compared with other bit arrangement methods, the proposed method also achieves a better visual condition in arranging the bits.
机译:最近几年。层次树中的集划分(SPIHT)算法已在图像和视频编码上高效执行。然而,在低比特率的情况下,总体上,视频通常具有相对较低的视觉质量,同时要注意视频。为了解决这个问题,本文提出了3-D SPIHT视频编码算法(AE-SPIHT)中的“注意强调位”排列,以将位从不敏感区域有效地重新排列为对眼睛敏感的区域,从而使整个视频获得更好的视觉效果。健康)状况。 AE-SPIHT适当地采用了一种位排列方法,根据纹理的内容和位速率,将对位从眼不敏感的区域集中地重新排列为对眼敏感的区域。实验表明,在大多数情况下,AE-SPIHT算法可提高传统3-D SPIHT中注意力区域的视觉质量。与其他位排列方法相比,所提出的方法在排列位时也达到了更好的视觉条件。

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