{"insert":{"user_id":"5000080634","type":"published_papers"},"similar_merge":{"see_also":[{"@id":"https://www.mdpi.com/2078-2489/14/9/494","label":"url"},{"@id":"https://tokushima-u.repo.nii.ac.jp/records/2011949","label":"url"},{"@id":"https://web.db.tokushima-u.ac.jp/cgi-bin/edb_browse?EID=402920","label":"url"}],"paper_title":{"en":"Extreme Learning Machine-Enabled Coding Unit Partitioning Algorithm for Versatile Video Coding","ja":"Extreme Learning Machine-Enabled Coding Unit Partitioning Algorithm for Versatile Video Coding"},"authors":{"en":[{"name":"Jiang Xiantao"},{"name":"Mo Xiang"},{"name":"Jin Jiayuan"},{"name":"Song Tian"}],"ja":[{"name":"Jiang Xiantao"},{"name":"Mo Xiang"},{"name":"Jin Jiayuan"},{"name":"宋 天"}]},"publication_date":"2023-09-07","publication_name":{"en":"Information","ja":"Information"},"volume":"14","number":"9","starting_page":"1","ending_page":"24","languages":["eng"],"referee":true,"identifiers":{"doi":["10.3390/info14090494"],"issn":["2078-2489"]},"published_paper_type":"scientific_journal"},"priority":"input_data"}
{"insert":{"user_id":"5000080634","type":"published_papers","id":"13729369"},"force":{"see_also":[{"@id":"https://www.scopus.com/pages/publications/84860808556","label":"url"},{"@id":"https://web.db.tokushima-u.ac.jp/cgi-bin/edb_browse?EID=249835","label":"url"}],"paper_title":{"en":"Low Complexity Algorithm for Inter-layer Prediction of H.264/SVC","ja":"Low Complexity Algorithm for Inter-layer Prediction of H.264/SVC"},"authors":{"en":[{"name":"Song Tian"},{"name":"Takei Kentaro"},{"name":"Shimamoto Takashi"}],"ja":[{"name":"宋 天"},{"name":"武井 健太郎"},{"name":"島本 隆"}]},"description":{"en":"Inter-layer prediction of H.264/SVC can help to improve the coding efficiency with increased computation complexity. This paper presents a low complexity algorithm for inter-layer prediction. The proposed algorithm focuses on the reduction of the candidate modes by making use of the correlations of the encoding cost between the base layer and enhancement layers. For macroblocks with the collocated macroblock coded by INTRA or INTER type two algorithms are proposed, respectively. Both algorithms efficiently decrease the redundant candidate modes by estimating from the base layer coding information. The experiment results show that the proposed algorithm can significantly reduce redundant computation complexity with almost no coding efficiency loss.","ja":"訳: H.264/SVCはスケラビリティを実現できるものの，高演算量より実用困難となっている．本研究は，H.264/SVCインターレイヤ予測の低演算量アルゴリズムを提案した．階層間の符号化コストの相関性を利用し，インターレイヤイントラ予測とインターレイヤインター予測の低演算量アルゴリズムを提案した．参照ソフトウェアJSVMに実装しシミュレーションした結果，符号化効率に影響なく，大幅な演算量削減が実現できた．"},"publication_date":"2012-05","publication_name":{"en":"International Journal of Innovative Computing, Information and Control","ja":"International Journal of Innovative Computing, Information and Control"},"volume":"8","number":"5(A)","starting_page":"3103","ending_page":"3113","languages":["eng"],"referee":true,"identifiers":{"issn":["1349-4198"]},"published_paper_type":"scientific_journal"},"priority":"input_data"}
{"insert":{"user_id":"5000080634","type":"published_papers","id":"13729384"},"force":{"see_also":[{"@id":"https://web.db.tokushima-u.ac.jp/cgi-bin/edb_browse?EID=189690","label":"url"}],"paper_title":{"en":"H.264/SVCにおけるEnhancementレイヤー符号化時の動き探索範囲の最適化に関する研究","ja":"H.264/SVCにおけるEnhancementレイヤー符号化時の動き探索範囲の最適化に関する研究"},"authors":{"en":[{"name":"Katayama Takafumi"},{"name":"森上 義崇"},{"name":"Song Tian"},{"name":"Shimamoto Takashi"}],"ja":[{"name":"片山 貴文"},{"name":"森上 義崇"},{"name":"宋 天"},{"name":"島本 隆"}]},"description":{"en":"H.264/SVCは時間・空間・品質のスケーラビリティを1つのビットストリームで提供できる．本稿では，その中の空間スケーラビリティに着目し，Enhancementレイヤー符号化時に符号化済Baseレイヤーの動きベクトルを用いた探索中心の改良を提案した．そしてそれに基づく探索範囲の適応的制御手法を提案した．シミュレーション結果より，演算量を65∼75%削減できることを示した．","ja":"H.264/SVCは時間・空間・品質のスケーラビリティを1つのビットストリームで提供できる．本稿では，その中の空間スケーラビリティに着目し，Enhancementレイヤー符号化時に符号化済Baseレイヤーの動きベクトルを用いた探索中心の改良を提案した．そしてそれに基づく探索範囲の適応的制御手法を提案した．シミュレーション結果より，演算量を65∼75%削減できることを示した．"},"publication_date":"2009-04-20","publication_name":{"en":"電子情報通信学会 回路とシステム軽井沢ワークショップ","ja":"電子情報通信学会 回路とシステム軽井沢ワークショップ"},"number":"22","starting_page":"136","ending_page":"141","languages":["jpn"],"published_paper_type":"research_institution"},"priority":"input_data"}