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Region-based Image Retrieval Using Semantic Mining
https://doi.org/10.14988/re.2017.0000015933
https://doi.org/10.14988/re.2017.00000159335a66c169-eebc-48fe-9e60-aeb89fe346aa
名前 / ファイル | ライセンス | アクション |
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038010020009.pdf (398.5 kB)
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Item type | 報告書 / Research Paper(1) | |||||||||||
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公開日 | 2010-12-10 | |||||||||||
タイトル | ||||||||||||
言語 | en | |||||||||||
タイトル | Region-based Image Retrieval Using Semantic Mining | |||||||||||
言語 | ||||||||||||
言語 | jpn | |||||||||||
キーワード | ||||||||||||
主題 | Remote sensing, image retrieval, semantic | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_18ws | |||||||||||
資源タイプ | research report | |||||||||||
ID登録 | ||||||||||||
ID登録 | 10.14988/re.2017.0000015933 | |||||||||||
ID登録タイプ | JaLC | |||||||||||
アクセス権 | ||||||||||||
アクセス権 | open access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
著者 |
村松, 加奈子
× 村松, 加奈子
WEKO
573
× 醍醐, 元正× Liu, Tingting× Li, Pingxiang× Zhang, Liangpei |
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著者所属(英) | ||||||||||||
en | ||||||||||||
Liu, Tingting / Wuhan Univeristy, China, Nara Women's University | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Muramatsu, Kanako / Department of Advanced Information and Computer Sciences, School of Interdisciplinary Scientific Phenomena and Information, Nara Women's University / Kyousei Science Center for Life and Nature, Nara | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Daigo, Motomasa / Doshisha University | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Li, Pingxiang / Wuhan University, China | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Zhang, Liangpei / Wuhan University, China | ||||||||||||
抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | In this paper, a multi-level image representation model is developed and used to mine semantic feature hidden in the original remote sensing image. This model is consisted of three levels : region level, region feature level and semantic level. The first two levels aim at represent image content by using region feature. Semantic level aims at extracting hidden semantic feature. At last, interested part and uninterested part method is used to improve the retrieval precision. Experiment shows that this method can well improve the accuracy of the retrieval result. | |||||||||||
言語 | en | |||||||||||
内容記述 | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | 研究ノート(note) | |||||||||||
言語 | ja | |||||||||||
書誌情報 |
ja : 同志社大学ワールドワイドビジネスレビュー en : Doshisha University world wide business review 巻 10, 号 2, p. 97-104, 発行日 2009-01-31 |
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出版者 | ||||||||||||
言語 | ja | |||||||||||
出版者 | 同志社大学ワールドワイドビジネス研究センター | |||||||||||
出版者(英) | ||||||||||||
言語 | en | |||||||||||
出版者 | Research Center for World Wide Business, Doshisha University | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | PISSN | |||||||||||
収録物識別子 | 18806198 | |||||||||||
書誌レコードID | ||||||||||||
収録物識別子タイプ | NCID | |||||||||||
収録物識別子 | AA1147629X | |||||||||||
権利者情報 | ||||||||||||
権利者名 | 同志社大学ワールドワイドビジネス研究センター | |||||||||||
言語 | ja | |||||||||||
権利者名 | Research Center for World Wide Business, Doshisha University | |||||||||||
言語 | en | |||||||||||
関連サイト | ||||||||||||
関連タイプ | isFormatOf | |||||||||||
識別子タイプ | URI | |||||||||||
関連識別子 | https://doors.doshisha.ac.jp/opac/opac_link/bibid/SB00953498/?lang=0 | |||||||||||
言語 | ja | |||||||||||
関連名称 | 掲載刊行物所蔵情報へのリンク / Link to Contents | |||||||||||
フォーマット | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | application/pdf | |||||||||||
出版者タイプ | ||||||||||||
出版タイプ | VoR | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
日本十進分類法 | ||||||||||||
主題 | 512.75 |