An algorithm for vector quantization using density estimation

Authors:
A. Nongnuch;A. Surarerks
Affiliations:
Engineering Laboratory in Theoretical Enumerable System, Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand;Engineering Laboratory in Theoretical Enumerable System, Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand
Venue:
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Year:
2005

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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.