{"created":"2024-12-12T09:01:53.419431+00:00","id":2010615,"links":{},"metadata":{"_buckets":{"deposit":"1cd6b4ee-f3e9-4a15-a34e-9bd2c24fcbf6"},"_deposit":{"created_by":7,"id":"2010615","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"2010615"},"status":"published"},"_oai":{"id":"oai:tokushima-u.repo.nii.ac.jp:02010615","sets":["1713853213384:1713853295607"]},"author_link":["1231"],"control_number":"2010615","item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-08-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8","bibliographicPageStart":"394","bibliographicVolumeNumber":"13","bibliographic_titles":[{"bibliographic_title":"Information","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The latest video coding standard, versatile video coding (VVC), has greatly improved coding efficiency over its predecessor standard high efficiency video coding (HEVC), but at the expense of sharply increased complexity. In the context of perceptual video coding (PVC), the visual saliency model that utilizes the characteristics of the human visual system to improve coding efficiency has become a reliable method due to advances in computer performance and visual algorithms. In this paper, a novel VVC optimization scheme compliant PVC framework is proposed, which consists of fast coding unit (CU) partition algorithm and quantization control algorithm. Firstly, based on the visual saliency model, we proposed a fast CU division scheme, including the redetermination of the CU division depth by calculating Scharr operator and variance, as well as the executive decision for intra sub-partitions (ISP), to reduce the coding complexity. Secondly, a quantization control algorithm is proposed by adjusting the quantization parameter based on multi-level classification of saliency values at the CU level to reduce the bitrate. In comparison with the reference model, experimental results indicate that the proposed method can reduce about 47.19% computational complexity and achieve a bitrate saving of 3.68% on average. Meanwhile, the proposed algorithm has reasonable peak signal-to-noise ratio losses and nearly the same subjective perceptual quality.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI","subitem_publisher_language":"en"}]},"item_10001_rights_15":{"attribute_name":"権利情報","attribute_value_mlt":[{"subitem_rights":"This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).","subitem_rights_language":"en"}]},"item_10001_source_id_9":{"attribute_name":"収録物ID","attribute_value_mlt":[{"subitem_source_identifier":"20782489","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1715043197608":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access"}]},"item_1722929371688":{"attribute_name":"出版社版DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"10.3390/info13080394"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/info13080394","subitem_relation_type_select":"DOI"}}]},"item_1723180141928":{"attribute_name":"EID","attribute_value_mlt":[{"subitem_identifier_type":"URI","subitem_identifier_uri":"390590"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Li, Wei","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Jiang, Xiantao","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Jin, Jiayuan","creatorNameLang":"en"}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"宋, 天","creatorNameLang":"ja"},{"creatorName":"ソウ, テン","creatorNameLang":"ja-Kana"},{"creatorName":"Song, Tian","creatorNameLang":"en"}],"familyNames":[{"familyName":"宋","familyNameLang":"ja"},{"familyName":"ソウ","familyNameLang":"ja-Kana"},{"familyName":"Song","familyNameLang":"en"}],"givenNames":[{"givenName":"天","givenNameLang":"ja"},{"givenName":"テン","givenNameLang":"ja-Kana"},{"givenName":"Tian","givenNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1231","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"79439/profile-ja.html","nameIdentifierScheme":"徳島大学 教育研究者総覧","nameIdentifierURI":"http://pub2.db.tokushima-u.ac.jp/ERD/person/79439/profile-ja.html"},{"nameIdentifier":"10380130","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/search/?qm=10380130"}]},{"creatorNames":[{"creatorName":"Yu, Fei Richard","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-02-01"}],"displaytype":"detail","filename":"info_13_8_394.pdf","filesize":[{"value":"3.2 MB"}],"format":"application/pdf","licensetype":"license_0","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://tokushima-u.repo.nii.ac.jp/record/2010615/files/info_13_8_394.pdf"},"version_id":"8750795d-ab57-4b19-a274-0b9f3c62d12d"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"VVC","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"saliency map","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"full convolutional network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"coding unit partitioning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"bitrate reduction","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"7","path":["1713853295607"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-02-01"},"publish_date":"2023-02-01","publish_status":"0","recid":"2010615","relation_version_is_last":true,"title":["Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2025-01-28T05:51:46.699388+00:00"}