{"updated":"2025-01-19T10:22:45.155187+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232650","sets":["1164:3616:11475:11511"]},"path":["11511"],"owner":"44499","recid":"232650","title":["ランレングス符号化によるクラスタ選択情報の圧縮"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-15"},"_buckets":{"deposit":"8a816a85-9b93-4f43-859a-65119ea9360d"},"_deposit":{"id":"232650","pid":{"type":"depid","value":"232650","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ランレングス符号化によるクラスタ選択情報の圧縮","author_link":["630380","630382","630379","630381"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ランレングス符号化によるクラスタ選択情報の圧縮"},{"subitem_title":"Compression of cluster selection information using run-length encoding","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-02-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工芸大学"},{"subitem_text_value":"東京工芸大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Polytechnic University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Polytechnic 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/232650/files/IPSJ-AVM24124002.pdf","label":"IPSJ-AVM24124002.pdf"},"date":[{"dateType":"Available","dateValue":"2026-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM24124002.pdf","filesize":[{"value":"1.2 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":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"2d81bc12-47ff-44d2-aabf-5c1c8953ccfc","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"相ヶ瀬, 友喜"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"上倉, 一人"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Aigase","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazuto, Kamikura","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8582","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"最新の映像符号化標準方式である H.266 において，明るさが変動するフェードシーン等に有効な重み付き予測が採用されている．また，複数種類のパラメータを使用するマルチ重み付き予測では，ディゾルブ動画像に対して性能改善の効果が得られることが示されている．本稿では，重み付き予測におけるクラスタ選択情報をランレングス符号化することでさらなる性能改善の効果が得られることを示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"H.266, the latest video coding standard, employs weighted prediction, which is effective for scenes such as fading scenes where brightness fluctuates. In addition, multi-weighted prediction using multiple types of parameters has been shown to improve performance for dissolved video images. In this paper, we show that further performance improvement can be achieved by using run-length coding for cluster selection information in the multi-weighted prediction.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"3","bibliographic_titles":[{"bibliographic_title":"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":"2024-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2024-AVM-124"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":232650,"created":"2025-01-19T01:33:38.426925+00:00"}