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A very low bit rate video coder based on vector quantization

机译:基于矢量量化的非常低比特率的视频编码器

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Describes a video coder based on a hybrid DPCM-vector quantization algorithm that is suited for bit rates ranging from 8-16 kb/s. The proposed approach involves segmenting difference images into variable-size and variable-shape blocks and performing segmentation and motion compensation simultaneously. The purpose of obtaining motion vectors for variable-size and variable-shape blocks is to improve the quality of motion estimation, particularly in those areas where the edges of moving objects are situated. For the larger blocks, decimation takes place in order to simplify vector quantization. For very active blocks, which are always of small dimension, a specific vector quantizer has been applied, the fuzzy classified vector quantizer (FCVQ). The coding algorithm described displays good performance in the compression of test sequences at the rates of 8 and 16 kb/s; the signal-to-noise ratios obtained are good in both cases. The complexity of the coder implementation is comparable to that of conventional hybrid coders, while the decoder is much simpler in this proposal.
机译:描述了一种基于混合DPCM矢量量化​​算法的视频编码器,适用于8-16 kb / s的比特率。所提出的方法涉及将差异图像分割成可变大小和可变形状的块,并同时执行分割和运动补偿。获得用于可变大小和可变形状的块的运动矢量的目的是提高运动估计的质量,尤其是在运动对象的边缘所在的区域。对于较大的块,进行抽取以简化矢量量化。对于总是小尺寸的非常活跃的块,已应用了特定的矢量量化器,即模糊分类矢量量化器(FCVQ)。所描述的编码算法在以8 kb / s和16 kb / s的速率压缩测试序列时显示出良好的性能。两种情况下获得的信噪比都很好。编码器实现的复杂性可与常规混合编码器相比,而解码器在此建议中要简单得多。

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