{"id":51831,"updated":"2025-01-22T07:04:14.847221+00:00","links":{},"created":"2025-01-18T23:16:17.483038+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00051831","sets":["1164:4619:4620:4623"]},"path":["4623"],"owner":"1","recid":"51831","title":["DCT による次元圧縮と事例選択を用いたビデオ超解像アルゴリズムの高速化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-05-01"},"_buckets":{"deposit":"2147cd39-c52d-4aba-9339-d90a8b39aeda"},"_deposit":{"id":"51831","pid":{"type":"depid","value":"51831","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"DCT による次元圧縮と事例選択を用いたビデオ超解像アルゴリズムの高速化","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"DCT による次元圧縮と事例選択を用いたビデオ超解像アルゴリズムの高速化"},{"subitem_title":"A Fast Algorithm of Video Super-Resolution Using Dimensionality Reduction by DCT and Example Selection","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-05-01","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"三菱電機株式会社先端技術総合研究所／大阪大学大学院基礎工学研究科"},{"subitem_text_value":"大阪大学大学院基礎工学研究科"},{"subitem_text_value":"三菱電機株式会社先端技術総合研究所"},{"subitem_text_value":"大阪大学大学院基礎工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Advanced Technology R&D Center, Mitsubishi Electric Corporation / Graduate School of Engineering Science, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering Science, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Advanced Technology R&D Center, Mitsubishi Electric Corporation","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering Science, Osaka 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/51831/files/IPSJ-CVIM08163033.pdf"},"date":[{"dateType":"Available","dateValue":"2010-05-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM08163033.pdf","filesize":[{"value":"2.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"fba107d7-d472-4130-9975-b6f8ce48f0aa","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"渡邊, 清高"},{"creatorName":"岩井, 儀雄"},{"creatorName":"羽下, 哲司"},{"creatorName":"谷内田, 正彦"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kiyotaka, Watanabe","creatorNameLang":"en"},{"creatorName":"Yoshio, Iwai","creatorNameLang":"en"},{"creatorName":"Tetsuji, Haga","creatorNameLang":"en"},{"creatorName":"Masahiko, Yachida","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","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":"学習ベース超解像アルゴリズムは，事例を蓄積するために大量のメモリを消費する点と，データベース中の事例を最近傍探索するための計算負荷が大きい点が問題であった．本論文では，メモリ消費量と計算負荷の小さい，学習ベースのビデオ超解像アルゴリズムを新たに提案する．次元圧縮を行うために，特徴ベクトルの成分として DCT 係数を利用する．また，コンパクトなデータベースを構築するための事例選択手法を与える．MPEG テストシーケンスを用いたシミュレーション実験により，提案手法は生成画像の画質を保ちながら超解像処理の効率を改善できることが示された．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In learning-based super-resolution algorithms, there are two major problems. One is that they require a large amount of memory to store examples, the other is high computational cost to find nearest neighbors in the database. In this paper, we propose a novel learnig-based video super resolution algorithm with less memory requirements and computational cost. To this end, we adopt discrete cosine transform (DCT) coefficients for feature vector elements. Moreover, we design an example selection procedure to construct a compact database. We conducted evaluative experiments using MPEG test sequences to synthesize high resolution video. Experimental results show that our method can improve effectiveness of super-resoluton algorithm, while preserving the quality of synthesized image.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"294","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"287","bibliographicIssueDates":{"bibliographicIssueDate":"2008-05-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"36(2008-CVIM-163)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}