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Fast codeword search algorithm for ECVQ using hyperplane decision rule
http://hdl.handle.net/2297/6711
http://hdl.handle.net/2297/6711596b8735-83bb-4631-a20c-fe8f131082fd
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
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| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | Fast codeword search algorithm for ECVQ using hyperplane decision rule | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
| 資源タイプ | conference paper | |||||
| 著者 |
Imamura, Kousuke
× Imamura, Kousuke× Swilem, Ahmed× Hashimoto, Hideo |
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| 提供者所属 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 金沢大学大学院自然科学研究科情報システム | |||||
| 提供者所属 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 金沢大学工学部 | |||||
| 書誌情報 |
Proceedings - IEEE International Symposium on Circuits and Systems 巻 2, p. 476-479, 発行日 2003-01-01 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0271-4310 | |||||
| 出版者 | ||||||
| 出版者 | Institute of Electrical and Electronics Engineers (IEEE) | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 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. Entropy-constrained vector quantization (ECVQ) codebook design based on empirical data involves an expensive training phase in which Lagrangian cost measure has to be minimized over the set of codebook vectors. In this paper, we describe a new method allowing significant acceleration in codebook design process. This method has feature of using a suitable hyperplane to partition the codebook and image data. Experimental results are presented on image block data. These results show that our method performs better than previously known methods. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||