{"created":"2023-05-15T12:34:48.701444+00:00","id":3468,"links":{},"metadata":{"_buckets":{"deposit":"48445f24-1996-4caf-944d-00fcca164471"},"_deposit":{"created_by":3,"id":"3468","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"3468"},"status":"published"},"_oai":{"id":"oai:nitech.repo.nii.ac.jp:00003468","sets":["31"]},"author_link":["9254","8515","8669","9255","9253"],"item_5_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2011-11-28","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"252","bibliographicPageStart":"245","bibliographic_titles":[{"bibliographic_title":"Proc. of The 7th Int'l Conf. on Signal-Image Technology and Internet-Based Systems (SITIS2011)"}]}]},"item_5_description_16":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_5_description_4":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Real-time image/video processing applications are now in demand with the advance of general purpose computers and mobile devices. However, programmers have to handle the digital images, and be aware of the resolutions and pixels. This makes image processing programming unintuitive. On the other hand, image/video processing typically has data parallelisms, and the performance gains are expected on GPUs. CUDA is developed for GPUs but writing the image/video processing programs efficiently with CUDA needs many CUDA-specific operations. They are not the essence of image/video processing and bother programmers. We have proposed a high-level video processing library RaVioli for solving this problem. RaVioli allows programmers to be unaware of resolutions, but there are some restrictions for the programming. Hence, this paper proposes a more intuitive programming language for image/video processing and a translator for the language. By using the translator, programmers can benefit from GPUs without the knowledge about both the GPU architecture and the CUDA APIs, and achieve performance gains.","subitem_description_type":"Other"}]},"item_5_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"8669","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"1000000335233","nameIdentifierScheme":"NRID","nameIdentifierURI":"http://rns.nii.ac.jp/nr/1000000335233"}],"names":[{"name":"津邑, 公暁"}]},{"nameIdentifiers":[{"nameIdentifier":"8515","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"1000000219396 ","nameIdentifierScheme":"NRID","nameIdentifierURI":"http://rns.nii.ac.jp/nr/1000000219396 "}],"names":[{"name":"松尾, 啓志"}]}]},"item_5_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Electrical and Electronics Engineers"}]},"item_5_relation_10":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"10.1109/SITIS.2011.66"}],"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"http://dx.doi.org/10.1109/SITIS.2011.66","subitem_relation_type_select":"DOI"}}]},"item_5_version_type_13":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ono, Ami","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kondo, Katsuhiko","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Inaba, Takafumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tsumura, Tomoaki","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Matsuo, Hiroshi","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-01-17"}],"displaytype":"detail","filename":"tsumura_2011_sitis_1.pdf","filesize":[{"value":"3.5 MB"}],"format":"application/pdf","license_note":"(c)2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文_fulltext","url":"https://nitech.repo.nii.ac.jp/record/3468/files/tsumura_2011_sitis_1.pdf"},"version_id":"7c9b9745-d8ef-4f05-b7bc-76527ab878b8"}]},"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":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"A GPU-Supported High-Level Programming Language for Image Processing","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A GPU-Supported High-Level Programming Language for Image Processing","subitem_title_language":"en"}]},"item_type_id":"5","owner":"3","path":["31"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-11-07"},"publish_date":"2012-11-07","publish_status":"0","recid":"3468","relation_version_is_last":true,"title":["A GPU-Supported High-Level Programming Language for Image Processing"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-05-15T15:06:16.276727+00:00"}