{"created":"2025-01-19T01:31:48.675465+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00231481","sets":["1164:3616:11132:11410"]},"path":["11410"],"owner":"44499","recid":"231481","title":["画像の処理・符号化およびセンシングに関する考究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-12-04"},"_buckets":{"deposit":"d48bec8e-3aa3-449c-bdd6-1c358fb69cdf"},"_deposit":{"id":"231481","pid":{"type":"depid","value":"231481","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"画像の処理・符号化およびセンシングに関する考究","author_link":["624954","624953"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"画像の処理・符号化およびセンシングに関する考究"},{"subitem_title":"Considerations on Image Processing, Coding and Sensing","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"CS 特別招待講演","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-12-04","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"法政大学情報科学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Computer and Information Sciences, Hosei 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/231481/files/IPSJ-AVM23123005.pdf","label":"IPSJ-AVM23123005.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM23123005.pdf","filesize":[{"value":"946.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"a1781a65-1a47-49cf-a834-a41246994896","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高村, 誠之"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Seishi, Takamura","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":"画像・映像符号化においては，入力された信号をそのまま符号化することもあるが，例えばノイズ除去などの画像処理を施してから符号化を行うことで符号化効率を高めることもある．後段での符号化に最適化した画像処理を「符号化志向画像処理」と呼ぶことにする．本講演では，筆者らが行ってきた符号化志向処理の一部を紹介する．具体的には，高フレームレート映像に着目して (符号化志向の) 低フレームレート映像シーケンスを作成する方法，映像中の剛体に着目して (符号化志向の) 画像を作成し符号化効率を高める方法，揺らぐ水を通して見た水底映像に着目して (符号化志向の) 画像を作成し符号化する方法，動的点群データを深度およびテクスチャ映像に還元し符号化する新しい符号化規格 (V-PCC) におけるテクスチャ映像に着目して (符号化志向の) 1 枚を作成し符号化効率を高める方法，および今後の展望について述べる．これらは符号化効率を劣化させるノイズを，如何に減らすかを検討したものである．そこで，定常光にすら含まれ取り除くことができず撮像素子の進化によっても解決できない最後のノイズとも言える「光ショットノイズ」について精査し，従来平均化しか行われていなかったこのノイズの低減法に代わり，ノイズを「手なずける」ことによる信号処理を考究し，それが拓く可能性についても述べる．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In image/video coding, the input signal may be coded as-is, but image processing, such as noise removal, for example, may be applied before coding to improve coding efficiency. Image processing optimized for coding at a later stage is called “coding-oriented image processing.” In this talk, we will introduce some of the coding-oriented image processing that the authors have previously performed. Specifically, a method for creating (coding-oriented) low frame rate video sequences by focusing on high frame rate video, a method for creating (coding-oriented) images by focusing on rigid bodies in video to improve coding efficiency, and a method for creating (coding-oriented) images by focusing on underwater video seen through shimmering water to code them, A method to create a (coding-oriented) image focusing on a texture image in a new coding standard (V-PCC) that reduces dynamic point cloud data to depth and texture images, and a method to improve coding efficiency. These are studies on how to reduce noise that degrades coding efficiency. We also examine the “optical shot noise,” which is the last noise in the image sensor and cannot be removed even in steady light, and discuss the possibility of signal processing by “taming” the noise instead of reducing it, which has only been done by averaging.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1","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":"2023-12-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2023-AVM-123"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":231481,"updated":"2025-01-19T10:44:49.477351+00:00","links":{}}