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Fast tree-structured nearest neighbor encoding for vector quantization

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3 Author(s)
Katsavounidis, I. ; Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA ; Kuo, C.-C.J. ; Zhen Zhang

This work examines the nearest neighbor encoding problem with an unstructured codebook of arbitrary size and vector dimension. We propose a new tree-structured nearest neighbor encoding method that significantly reduces the complexity of the full-search method without any performance degradation in terms of distortion. Our method consists of efficient algorithms for constructing a binary tree for the codebook and nearest neighbor encoding by using this tree. Numerical experiments are given to demonstrate the performance of the proposed method

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Image Processing, IEEE Transactions on  (Volume:5 ,  Issue: 2 )