Title: An algorithm for vector quantization using density estimation
Abstract: We are interested in the vector quantization problem. Many researches focus on finding a codebook using spatial distance. In order to evaluate the codebook, distortion is usually used. In this work, we introduce a novel concept for generating a codebook. Density estimation plays an important role to create codewords combining with a cluster distance. A vector quantization algorithm is proposed in this paper, some experimental results show that the output codebook can express the density distribution of the original vectors. Finally, three-dimensional vector problem is also considered.
Publication Year: 2005
Publication Date: 2005-08-17
Language: en
Type: article
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