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NEAREST NEIGHBOR SEARCH ALGORITHM AND ITS APPLICATION TO VECTOR QUANTIZATION

机译:NEAREST NEIGHBOR搜索算法及其在矢量量化中的应用

摘要

A method for compressing data employing vector quantization is achieved by calculating the norm of an input vector and identifying a reference codebook vector which has a norm which is closest to the norm of the input vector. The distance between the input vector and the reference codebook vector selected is computed and employed to identify a vector space about the reference vector containing a subset of codebook vectors one or more of which may be closer to the input vector than the initially selected reference vector. The closest codebook vector is selected iteratively without the necessity of searching every vector in the codebook.
机译:通过计算输入向量的范数并识别具有最接近输入向量范数的范数的参考码本向量,来实现一种使用向量量化的数据压缩方法。计算输入向量与所选择的参考码本向量之间的距离,并将其用于识别围绕参考向量的向量空间,该向量空间包含码本向量的子集,其中一个或多个子集可能比初始选择的参考向量更接近输入向量。迭代地选择最接近的码本向量,而无需在码本中搜索每个向量。

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