{"id":1434,"date":"2015-06-19T10:27:14","date_gmt":"2015-06-19T09:27:14","guid":{"rendered":"http:\/\/www.ceessnoek.info\/?p=1434"},"modified":"2015-06-19T10:27:14","modified_gmt":"2015-06-19T09:27:14","slug":"discovering-semantic-vocabularies-for-cross-media-retrieval","status":"publish","type":"post","link":"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/","title":{"rendered":"Discovering Semantic Vocabularies for Cross-Media Retrieval"},"content":{"rendered":"<p>The ICMR2015 paper <em>Discovering Semantic Vocabularies for Cross-Media Retrieval<\/em> by <a href=\"https:\/\/staff.fnwi.uva.nl\/a.habibian\/\">Amirhossein Habibian<\/a>, Thomas Mensink, and Cees G. M. Snoek is now available.\u00a0This paper proposes a data-driven approach for cross-media retrieval by automatically learning its underlying semantic vocabulary. Different from the existing semantic vocabularies, which are manually pre-defined and annotated, we automatically discover the vocabulary concepts and their annotations from multimedia collections. To this end, we apply a probabilistic topic model on the text available in the collection to extract its semantic structure. Moreover, we propose a learning to rank framework, to effectively learn the concept classifiers from the extracted annotations. We evaluate the discovered semantic vocabulary for cross-media retrieval on three datasets of image\/text and video\/text pairs. Our experiments demonstrate that the discovered vocabulary does not require <em>any<\/em> manual labeling to outperform three recent alternatives for cross-media retrieval.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ICMR2015 paper Discovering Semantic Vocabularies for Cross-Media Retrieval by Amirhossein Habibian, Thomas Mensink, and Cees G. M. Snoek is now available.\u00a0This paper proposes a data-driven approach for cross-media retrieval by automatically learning its underlying semantic vocabulary. Different from the existing semantic vocabularies, which are manually pre-defined and annotated, we automatically discover the vocabulary concepts [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1434","post","type-post","status-publish","format-standard","hentry","category-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Discovering Semantic Vocabularies for Cross-Media Retrieval - Cees Snoek<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Discovering Semantic Vocabularies for Cross-Media Retrieval - Cees Snoek\" \/>\n<meta property=\"og:description\" content=\"The ICMR2015 paper Discovering Semantic Vocabularies for Cross-Media Retrieval by Amirhossein Habibian, Thomas Mensink, and Cees G. M. Snoek is now available.\u00a0This paper proposes a data-driven approach for cross-media retrieval by automatically learning its underlying semantic vocabulary. Different from the existing semantic vocabularies, which are manually pre-defined and annotated, we automatically discover the vocabulary concepts [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/\" \/>\n<meta property=\"og:site_name\" content=\"Cees Snoek\" \/>\n<meta property=\"article:published_time\" content=\"2015-06-19T09:27:14+00:00\" \/>\n<meta name=\"author\" content=\"Cees\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Cees\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/\",\"url\":\"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/\",\"name\":\"Discovering Semantic Vocabularies for Cross-Media Retrieval - Cees Snoek\",\"isPartOf\":{\"@id\":\"https:\/\/www.ceessnoek.info\/#website\"},\"datePublished\":\"2015-06-19T09:27:14+00:00\",\"author\":{\"@id\":\"https:\/\/www.ceessnoek.info\/#\/schema\/person\/4bca975b7c432aeb5dced40bdbc204c1\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.ceessnoek.info\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Discovering Semantic Vocabularies for Cross-Media Retrieval\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.ceessnoek.info\/#website\",\"url\":\"https:\/\/www.ceessnoek.info\/\",\"name\":\"Cees Snoek\",\"description\":\"research on video and image ai\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.ceessnoek.info\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.ceessnoek.info\/#\/schema\/person\/4bca975b7c432aeb5dced40bdbc204c1\",\"name\":\"Cees\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.ceessnoek.info\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/756ccb993852c1e8e3af39a228d11a7305b2a937750f26dc5799d5df019b0f51?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/756ccb993852c1e8e3af39a228d11a7305b2a937750f26dc5799d5df019b0f51?s=96&d=mm&r=g\",\"caption\":\"Cees\"},\"sameAs\":[\"http:\/\/www.CeesSnoek.info\"],\"url\":\"https:\/\/www.ceessnoek.info\/index.php\/author\/admin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Discovering Semantic Vocabularies for Cross-Media Retrieval - Cees Snoek","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ceessnoek.info\/index.php\/discovering-semantic-vocabularies-for-cross-media-retrieval\/","og_locale":"en_US","og_type":"article","og_title":"Discovering Semantic Vocabularies for Cross-Media Retrieval - Cees Snoek","og_description":"The ICMR2015 paper Discovering Semantic Vocabularies for Cross-Media Retrieval by Amirhossein Habibian, Thomas Mensink, and Cees G. 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