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Variable-Rate Hierarchical Vector Quantization with Variance Classification

机译:具有方差分类的可变速率分层向量量化

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Because the bit rate can be adjusted depending on the network traffic situation, the variable bit rate is more suitable than a fixed rate for transmitting images on the network. IN this paper, a new variable rate hierarchical classified vector quantization (VHCVQ) scheme is proposed. This technique is suitable for progressive trans- mission. In our two-stage VHCVQ scheme, we use the differences between the first-stage input vectors and the first-stage quantized vectors, called residual vectors, to code the image in the second stage. Usually the values between thee differences are small and each is close to one another. Using the difference to code the image may reduce the codebook size and the bit rate as well. In our simu- lation, using these differences reduced the bit rate by abut 0.075 bpp.
机译:因为可以根据网络流量情况调整比特率,所以可变比特率比固定速率更适合在网络上传输图像。本文提出了一种新的可变速率分级分类矢量量化(VHCVQ)方案。此技术适用于渐进式传输。在我们的两阶段VHCVQ方案中,我们使用第一阶段输入向量和第一阶段量化向量(称为残差向量)之间的差异来对第二阶段的图像进行编码。通常,您之间的差异值很小,并且彼此接近。使用差异对图像进行编码还可以减少编码簿的大小和比特率。在我们的仿真中,使用这些差异将比特率降低了约0.075 bpp。

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