画像検索のための色彩特徴抽出方式 3-Dimensional Color Vector Quantization

• Item type: SIG Technical Reports(1)
• 公開日: 2008-09-14
• タイトル: 画像検索のための色彩特徴抽出方式 3-Dimensional Color Vector Quantization
• タイトル / 言語: en
• タイトル: 3D - Color Vector Quantization For Image Retrieval Systems
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Media and Governance Keio University
• 著者所属: Faculty of Environmental Information Keio University
• 著者所属(英): en
• 著者所属(英): Graduate School of Media and Governance, Keio University
• 著者所属(英): en
• 著者所属(英): Faculty of Environmental Information, Keio University
• 著者名: AliRidhoBarakbah; Yasushi, Kiyoki
• 著者名(英): Ali, RidhoBarakbah; Yasushi, Kiyoki
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In this paper we present a new approach for extracting color feature for image retrieval systems. The system introduces color feature extraction using histogram of Three Dimensional (3D)-Color Vector Quantization of RGB color space. The main idea of this approach is that the system uniformly represents image colors in certain positions of RGB’s vector color space. It intends to reduce a complexity RGB colors in the image and unifies the close colors in the vector space. In advance our system pre-proceeds noise removal to enhance the quality of an image before extracting the feature. We apply 3D-Color Vector Quantization in each block of image partition to keep a close similarity between image query and image database in the matching process for each block of partitioned image. We evaluated our system using COREL image collections containing different categories of images. The experimental results clarify effectiveness of the proposed system to improve the accuracy for image retrieval.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In this paper we present a new approach for extracting color feature for image retrieval systems. The system introduces color feature extraction using histogram of Three Dimensional (3D)-Color Vector Quantization of RGB color space. The main idea of this approach is that the system uniformly represents image colors in certain positions of RGB’s vector color space. It intends to reduce a complexity RGB colors in the image and unifies the close colors in the vector space. In advance, our system pre-proceeds noise removal to enhance the quality of an image before extracting the feature. We apply 3D-Color Vector Quantization in each block of image partition to keep a close similarity between image query and image database in the matching process for each block of partitioned image. We evaluated our system using COREL image collections containing different categories of images. The experimental results clarify effectiveness of the proposed system to improve the accuracy for image retrieval.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10112482
• 書誌情報: 情報処理学会研究報告データベースシステム（DBS）; 巻 2008, 号 88(2008-DBS-146), p. 13-18, 発行日 2008-09-14
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会