{"id":55,"date":"2024-05-13T20:39:51","date_gmt":"2024-05-13T20:39:51","guid":{"rendered":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/?page_id=55"},"modified":"2024-07-01T21:09:48","modified_gmt":"2024-07-01T21:09:48","slug":"projects","status":"publish","type":"page","link":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/projects\/","title":{"rendered":"Projects"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"55\" class=\"elementor elementor-55\">\n\t\t\t\t<div class=\"elementor-element elementor-element-50802f9 e-flex e-con-boxed e-con e-parent\" data-id=\"50802f9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1be214e elementor-widget elementor-widget-heading\" data-id=\"1be214e\" data-element_type=\"widget\" id=\"AutomatedSubtitling\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Automated Subtitling for TV<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-89ca722 e-flex e-con-boxed e-con e-parent\" data-id=\"89ca722\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-95fe912 elementor-widget elementor-widget-text-editor\" data-id=\"95fe912\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.23.0 - 05-08-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>The goal of this project is to increase automated subtitling quality for Dutch with TV-specific techniques, e.g., leveraging speakers, scripts and visual cues. Next, we plan to run benchmarks on RTL content. RTL yearly subtitling costs are ~\u20ac2m. Dutch speech recognition lags behind English and more importantly not all speakers can be described equally accurately (in particular accuracy is lower for younger and non-native speakers). Therefore, this project plans to tackle these challenges, by developing intelligent, controllable captioning technology suitable for RTL\u2019s content, making use of rich context, improving caption quality and scale.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e071ff elementor-widget elementor-widget-heading\" data-id=\"3e071ff\" data-element_type=\"widget\" id=\"FullPagePersonalization\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Full-page Personalization <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-135c2be elementor-widget elementor-widget-text-editor\" data-id=\"135c2be\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The goal of this project is to personalize a full page of video content, containing both short and long videos. As a consequence, the main scientific challenge for this work package is how to best generate a personalized, unique, and broad mix of content which also maintains diversity. During the course of the project we will develop new algorithms and novel metrics, both for engagement and diversity, which are suitable for mixed categories of content (e.g., combination of short and long form of videos.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d085dea elementor-widget elementor-widget-heading\" data-id=\"d085dea\" data-element_type=\"widget\" id=\"PromoMaterial\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Synthetic Media: Automatic Promo Material<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca9e1ba elementor-widget elementor-widget-text-editor\" data-id=\"ca9e1ba\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In this project, we pick up the challenge of automatically generating promotional material for TV programs and movies, including thumbnails and trailers. The main goal for this work package is how to best automatically or semi-automatically (using human-in-the-loop algorithms and pipelines) generate summaries from a full length video promotional material, while considering the diversity and fairness of this content. Using advanced computer vision technologies, we believe that we can support our creative people, by improving the efficiency of promotional content creation. In this process we want to keep ample room for human creativity.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12dda72 elementor-widget elementor-widget-heading\" data-id=\"12dda72\" data-element_type=\"widget\" id=\"Ads\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Perfect Ad Position<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-189fdc2 elementor-widget elementor-widget-text-editor\" data-id=\"189fdc2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<table width=\"0\"><tbody><tr><td width=\"602\"><p>The main goal for this project is to improve metrics for assessing and explaining the fairness of recommendations over time, for different stakeholder types, e.g., consumers, distributors, customers, advertisers, and providers. An interesting use case can be found in the ad-supported Basic tier of RTL\u2019s Videoland platform. Consumers can opt to pay more and not see any ads, and RTL\u2019s interest is to balance this proposition with premium advertising (which fits user\u2019s interests well), whereas advertisers are seeking high quality exposure. Balancing these interests, RTL wants to take a long term perspective and focus on retaining our Videoland customers, regardless of whether they downgrade to an adless tier. Furthermore for successful recommendation, it is not only important that the right item is shown to a given user, but equally where an item is placed and how it is presented. Finally, the applied optimization needs to be done in a way that is user understandable to both types of stakeholders.<\/p><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8262d59 e-flex e-con-boxed e-con e-parent\" data-id=\"8262d59\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-59ec52e elementor-widget elementor-widget-heading\" data-id=\"59ec52e\" data-element_type=\"widget\" id=\"DiversityBias\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Diversity and Bias in AI and Content<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a87f3a1 elementor-widget elementor-widget-text-editor\" data-id=\"a87f3a1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The main goal for this project is to develop good practices for considering diversity in all of its forms (e.g. gender, ethnicity, age, religion, sexuality, health, plus how they intersect), and how these practices can be applied to develop inclusive, non-discriminatory AI systems. In recent years, there have been many examples of how AI systems, based on historic data, very quickly learn to intensify discrimination, exclusion and hate speech, for example in the association of jobs with genders, or crime with ethnic groups. Such systems are fundamentally at odds with democratic values of accountability and transparency. Media companies play an important role in democratic debate, and thus have a particular responsibility to develop systems that help people to become informed citizens, and not simply amused consumers.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Automated Subtitling for TV The goal of this project is to increase automated subtitling quality for Dutch with TV-specific techniques, e.g., leveraging speakers, scripts and visual cues. Next, we plan to run benchmarks on RTL content. RTL yearly subtitling costs are ~\u20ac2m. Dutch speech recognition lags behind English and more importantly not all speakers can [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-55","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/pages\/55","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/comments?post=55"}],"version-history":[{"count":12,"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/pages\/55\/revisions"}],"predecessor-version":[{"id":195,"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/pages\/55\/revisions\/195"}],"wp:attachment":[{"href":"https:\/\/dacs.maastrichtuniversity.nl\/taimlab\/index.php\/wp-json\/wp\/v2\/media?parent=55"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}