{"updated":"2025-01-22T11:54:07.387825+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00041510","sets":["1164:3616:3657:3659"]},"path":["3659"],"owner":"1","recid":"41510","title":["Wavelet変換符号化に対応したカラー静止画像の画質評価モデル"],"pubdate":{"attribute_name":"公開日","attribute_value":"2000-09-22"},"_buckets":{"deposit":"3848ae0a-69a5-4a73-84d9-e374f3be0928"},"_deposit":{"id":"41510","pid":{"type":"depid","value":"41510","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"Wavelet変換符号化に対応したカラー静止画像の画質評価モデル","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Wavelet変換符号化に対応したカラー静止画像の画質評価モデル"},{"subitem_title":"Quality evaluation model of Wavelet transfrom coding","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2000-09-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"富山大学工学部電気電子システム工学科"},{"subitem_text_value":"富山大学工学部電気電子システム工学科"},{"subitem_text_value":"富山大学工学部電気電子システム工学科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Electrical and Electronic Engineering, Faculty of Engineering, Toyama University","subitem_text_language":"en"},{"subitem_text_value":"Department of Electrical and Electronic Engineering, Faculty of Engineering, Toyama University","subitem_text_language":"en"},{"subitem_text_value":"Department of Electrical and Electronic Engineering, Faculty of Engineering, Toyama University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/41510/files/IPSJ-AVM00030001.pdf"},"date":[{"dateType":"Available","dateValue":"2002-09-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM00030001.pdf","filesize":[{"value":"763.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7cd9c2d2-003c-4318-822c-4f702b6d72d5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2000 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大西淳一"},{"creatorName":"堀田, 裕弘"},{"creatorName":"村井, 忠邦"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ohnishi, Jun'Ichi","creatorNameLang":"en"},{"creatorName":"Horita, Yuukou","creatorNameLang":"en"},{"creatorName":"Murai, Tadakuni","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"先に提案されているカラー静止画像のブロックベース符号化に対する画質評価モデルと，白黒静止画像のWavelet変換符号化に対する画質評価モデルを組み合せてカラー静止画像のWavelet変換符号化に対する画質評価モデルを構築し，その性能評価と問題点について検討を行なった．これは，CIE L^*a^*b^*色空間の各成分ごとにおける4種類の歪み要因，11種類のテクスチャ特徴量と6種類のサブバンド毎に求めたWavelet変換領域の誤差を算出し，ロジスティック曲線を考慮した非線形重回帰モデルで画質評価モデルを構成した．その結果，オープンデータで評価した場合でも、相関係数が0.965と高く，MOSの推定誤差の平均値も0.26，最大誤差も0.96と良好な結果を得た．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We construct the quality evaluation model of Wavelet transform coding of color still picture. This model is based on the evaluation models of the block-based coding and Wavelet transform coding. This model consists of the non-linear combination model whose components are 4 kinds of distortion factors in L^*a^*b^* color space, 11 kinds of texture features and 6 kinds of subband errors of Wavelet transform domain. This model achieves the good estimation of the subjective picture quality in case of the open data.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2000-09-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"89(2000-AVM-030)","bibliographicVolumeNumber":"2000"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T23:08:21.905909+00:00","id":41510,"links":{}}