Evaluation of Clustering Algorithms for Vector Quantization in Practical Usage
Evaluation of Clustering Algorithms for Vector Quantization in Practical Usage
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2014/12/01
タイトル(英語): Evaluation of Clustering Algorithms for Vector Quantization in Practical Usage
著者名: Hiromu Sakakita (College of Information and Systems, Muroran Institute of Technology), Hiroaki Igarashi (College of Information and Systems, Muroran Institute of Technology), Junji Maeda (College of Information and Systems, Muroran Institute of Technology
著者名(英語): Hiromu Sakakita (College of Information and Systems, Muroran Institute of Technology), Hiroaki Igarashi (College of Information and Systems, Muroran Institute of Technology), Junji Maeda (College of Information and Systems, Muroran Institute of Technology), Yukinori Suzuki (College of Information and Systems, Muroran Institute of Technology)
キーワード: Image Compression,Vector Quantization,Clustering Algorithms,Codebook Design
要約(英語): Image coding technologies are essential to use communication channels effectively. We have been studied vector quantization, because it does not cause deterioration in image quality in a high compression region and also has a small computational cost for image coding. The performance of vector quantization depends on a code book that is constructed using clustering algorithms. In this study, we evaluated popularly used typical clustering algorithms in terms of practical usage. Computational experiments showed that there is no notable difference in performance of the clustering algorithms in practical usage of vector quantization.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.134 No.12 (2014) 特集:電気関係学会東海支部連合大会
本誌掲載ページ: 1936-1937 p
原稿種別: 研究開発レター/英語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/134/12/134_1936/_article/-char/ja/
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