

{"id":95,"date":"2023-10-30T11:29:36","date_gmt":"2023-10-30T10:29:36","guid":{"rendered":"https:\/\/project.inria.fr\/wiced2024\/?page_id=95"},"modified":"2024-02-13T08:38:58","modified_gmt":"2024-02-13T07:38:58","slug":"wiced-editing-competition","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/wiced2024\/wiced-editing-competition\/","title":{"rendered":"WICED Editing competition"},"content":{"rendered":"<p><\/p>\n\n\n<p class=\"has-large-font-size\"><strong>Objectives<\/strong><\/p>\n\n\n\n<p>The competition aims to inspire and showcase the state of the art in automated editing systems and multimedia processing techniques. In this first edition, we have chosen the BBC old school dataset and offer an aesthetic and a technical challenge that can be done with this dataset.<\/p>\n\n\n\n<p class=\"has-large-font-size\"><strong>Materials<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>The <a href=\"https:\/\/www.bbc.com\/rd\/projects\/old-school-dataset\">BBC Old School dataset<\/a> \u2013 you\u2019ll need to arrange access to this data in order to enter the competition.<\/li><li><a href=\"https:\/\/project.inria.fr\/wicedxcinemotions2023\/files\/2023\/06\/WICED-2022-Old-School-Launch-Dataset-WICED-2023-edition.pptx\" data-type=\"URL\" data-id=\"https:\/\/project.inria.fr\/wicedxcinemotions2023\/files\/2023\/06\/WICED-2022-Old-School-Launch-Dataset-WICED-2023-edition.pptx\">A description of the dataset <\/a>presented at WICED 2022 and 2023 (this is a summary \u2013 full details of the dataset contents are provided within the dataset itself).<\/li><\/ul>\n\n\n\n<p>There are no restrictions on the code, tools or approach used in creating the entries.<\/p>\n\n\n\n<p class=\"has-large-font-size\"><strong>Guidelines\/Tips<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Start with the example timeline to work with the pre-selected takes \u2013 this is provided as an industry-standard EDL file in the dataset (but it\u2019s very human-readable).<\/li><li>A pre-mixed audio track is also provided in the dataset.<\/li><li>You can begin with the proxy (lower resolution) video footage if the full-resolution material is inconvenient to download\/process<\/li><li>An example human edit based on the example timeline is also provided.<\/li><\/ul>\n\n\n\n<p class=\"has-large-font-size\"><strong>Judging<\/strong><\/p>\n\n\n\n<p>There are two entry types :<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Aesthetic: trying to obtain the best edit possible<\/li><li>Technical: exploring some aspect of the dataset without necessarily generating a full edit, such as generating interesting framings<\/li><\/ul>\n\n\n\n<p class=\"has-large-font-size\"><strong>Calendar<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Competition start: 1st July 2023<\/li><li>Online information sessions:<ul><li> 4 September 2023 15:00 BST \u2014 contact us for connection details<\/li><li>Follow up sessions in October \u2013 December 2023 to be announced<\/li><\/ul><\/li><li>Competition ends: <s>15 February 2024<\/s> 29 February 2024 (extended)<\/li><li>Announcement of results: 24 March 2024<\/li><li>Presentation event: WICED 2024 (22 April 2024)<\/li><\/ul>\n\n\n\n<p class=\"has-large-font-size\"><strong>Submission<\/strong><\/p>\n\n\n\n<p>Entries to the competition should be submitted as a regular workshop submission (see <a href=\"https:\/\/project.inria.fr\/wiced2024\/call-for-papers\/\">Call for Papers<\/a>). The submission should include:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Author(s), affiliation, and contact<\/li><li>Description of the implementation (max 4 pages)<ul><li>Include download link to the video entry<\/li><\/ul><\/li><\/ul>\n\n\n\n<p class=\"has-large-font-size\"><strong>Tips and ressources<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/project.inria.fr\/wiced2024\/files\/2023\/12\/WICED-2024-Editing-Competition.pdf\" data-type=\"URL\">Slides of the competition announcement<\/a><\/li><li><a href=\"https:\/\/www.bbc.com\/rd\/publications\/old-school-8k-multicamera-shoot-to-create-dataset-for-computational-cinematography\" data-type=\"URL\" data-id=\"https:\/\/www.bbc.com\/rd\/publications\/old-school-8k-multicamera-shoot-to-create-dataset-for-computational-cinematography\">White paper of the dataset<\/a><\/li><li><a href=\"https:\/\/www.youtube.com\/watch?v=YtIBG5PjXIU\" data-type=\"URL\" data-id=\"https:\/\/www.youtube.com\/watch?v=YtIBG5PjXIU\">AutoPod multi-camera editor in Adobe Premier<\/a><\/li><\/ul>\n\n\n\n<p class=\"has-large-font-size\"><strong>Stay informed<\/strong><\/p>\n\n\n\n<p>If you would like to receive updates about the competition, information sessions, and future sessions of WICED, please fill in the form below:<\/p>\n\n\n\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f98-o1\" lang=\"en-US\" dir=\"ltr\" data-wpcf7-id=\"98\"><form action=\"\/wiced2024\/wp-json\/wp\/v2\/pages\/95#wpcf7-f98-o1\" method=\"post\" class=\"wpcf7-form init\" novalidate=\"novalidate\" data-status=\"init\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"98\" \/>\n<input type=\"hidden\" name=\"_wpcf7_version\" value=\"6.0.6\" \/>\n<input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/>\n<input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f98-o1\" \/>\n<input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/>\n<input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/>\n<\/div>\n<p><label> Your Name (required)<br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-name\"><input class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" aria-required=\"true\" aria-invalid=\"false\" value=\"\" type=\"text\" name=\"your-name\" \/><\/span> <\/label>\n<\/p>\n<p><label> Your Email (required)<br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-email\"><input class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email\" aria-required=\"true\" aria-invalid=\"false\" value=\"\" type=\"email\" name=\"your-email\" \/><\/span> <\/label>\n<\/p>\n<p><span class=\"wpcf7-form-control-wrap\" data-name=\"checkbox-72\"><span class=\"wpcf7-form-control wpcf7-checkbox\"><span class=\"wpcf7-list-item first\"><input type=\"checkbox\" name=\"checkbox-72[]\" value=\"Future sessions of WICED\" id=\"checkbox-1\" \/><span class=\"wpcf7-list-item-label\">Future sessions of WICED<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"checkbox-72[]\" value=\"WICED Editing competition\" id=\"checkbox-2\" \/><span class=\"wpcf7-list-item-label\">WICED Editing competition<\/span><\/span><span class=\"wpcf7-list-item last\"><input type=\"checkbox\" name=\"checkbox-72[]\" value=\"Eurographics WICED working group\" id=\"checkbox-3\" \/><span class=\"wpcf7-list-item-label\">Eurographics WICED working group<\/span><\/span><\/span><\/span>\n<\/p>\n<p><label> Other comments<br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-message\"><textarea cols=\"40\" rows=\"10\" class=\"wpcf7-form-control wpcf7-textarea\" aria-invalid=\"false\" name=\"your-message\"><\/textarea><\/span> <\/label>\n<\/p>\n<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner\" type=\"submit\" value=\"Send\" \/>\n<\/p><div class=\"wpcf7-response-output\" tabindex=\"-1\"><\/div>\n<\/form>\n<\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Objectives The competition aims to inspire and showcase the state of the art in automated editing systems and multimedia processing techniques. In this first edition, we have chosen the BBC old school dataset and offer an aesthetic and a technical challenge that can be done with this dataset. Materials The\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/wiced2024\/wiced-editing-competition\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":2297,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-95","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/pages\/95","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/comments?post=95"}],"version-history":[{"count":9,"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/pages\/95\/revisions"}],"predecessor-version":[{"id":122,"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/pages\/95\/revisions\/122"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/wiced2024\/wp-json\/wp\/v2\/media?parent=95"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}