Fast Codeword Search Algorithm for Vector Quantization Based on Hyperplane Partitioning Method
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概要
- 論文の詳細を見る
Vector quantization is the process of encoding vector data as an index to a dictionary or codebook of representative vectors. One of the most serious problems for vector quantization is the high computational complexity involved in searching for the closest codeword through the codebook. In this paper, we describe a new method allowing significant acceleration of codebook design and encoding processes for vector quantization. This method has feature of using a suitable hyperplane to partition codebook and image data. Experimental results are presented on image block data. These results show that our method performs better than the previously known methods.
- 一般社団法人情報処理学会の論文
- 2002-07-26
著者
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Imamura Kousuke
The Dept. Of Electrical & Electronic System Kanazawa University
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IMAMURA Kousuke
Faculty of Engineering, Kanazawa University
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HASHIMOTO Hideo
Faculty of Engineering, Kanazawa University
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Hashimoto H
The Dept. Of Electrical & Electronic System Kanazawa University
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SWILEM Ahmed
Graduate School of Natural Science & Technology, Kanazawa University
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Hashimoto Hideo
The Dept. Of Electrical & Electronic System Kanazawa University
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- Fast Codeword Search Algorithm for Vector Quantization Based on Hyperplane Partitioning Method