{"id":902,"date":"2012-07-15T13:57:26","date_gmt":"2012-07-15T12:57:26","guid":{"rendered":"http:\/\/www.ceessnoek.info\/?p=902"},"modified":"2012-07-15T14:16:06","modified_gmt":"2012-07-15T13:16:06","slug":"harvesting-social-images-for-bi-concept-search","status":"publish","type":"post","link":"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/","title":{"rendered":"Harvesting Social Images for Bi-Concept Search"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-910\" title=\"concept_combinations\" src=\"http:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations-300x177.png\" alt=\"\" width=\"300\" height=\"177\" align=\"right\" srcset=\"https:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations-300x177.png 300w, https:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations-1024x607.png 1024w, https:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations.png 1340w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>The paper &#8220;<em>Harvesting Social Images for Bi-Concept Search<\/em>&#8221; by <a href=\"http:\/\/staff.science.uva.nl\/~xirong\/\">Xirong Li<\/a>, Cees Snoek, Marcel Worring and Arnold Smeulders, which appears in the August issue of IEEE Transactions on Multimedia, is <a href=\"http:\/\/staff.science.uva.nl\/~cgmsnoek\/pub\/li-biconcept-tmm.pdf\" target=\"_blank\">now available<\/a>. Searching for the co-occurrence of two visual concepts in unlabeled images is an important step towards answering complex user queries. Traditional visual search methods use combinations of the confidence scores of individual concept detectors to tackle such queries. In this paper we introduce the notion of bi-concepts, a new concept-based retrieval method that is directly learned from social-tagged images. As the number of potential bi-concepts is gigantic, manually collecting training examples is infeasible. Instead, we propose a multimedia framework to collect de-noised positive as well as informative negative training examples from the social web, to learn bi-concept detectors from these examples, and to apply them in a search engine for retrieving bi-concepts in unlabeled images. We study the behavior of our bi-concept search engine using 1.2M social-tagged images as a data source. Our experiments indicate that harvesting examples for bi-concepts differs from traditional single-concept methods, yet the examples can be collected with high accuracy using a multi-modal approach. We find that directly learning bi-concepts is better than oracle linear fusion of single-concept detectors, with a relative improvement of 100\\%. This study reveals the potential of learning high-order semantics from social images, for free, suggesting promising new lines of research.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The paper &#8220;Harvesting Social Images for Bi-Concept Search&#8221; by Xirong Li, Cees Snoek, Marcel Worring and Arnold Smeulders, which appears in the August issue of IEEE Transactions on Multimedia, is now available. Searching for the co-occurrence of two visual concepts in unlabeled images is an important step towards answering complex user queries. Traditional visual search [&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-902","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>Harvesting Social Images for Bi-Concept Search - 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\/harvesting-social-images-for-bi-concept-search\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Harvesting Social Images for Bi-Concept Search - Cees Snoek\" \/>\n<meta property=\"og:description\" content=\"The paper &#8220;Harvesting Social Images for Bi-Concept Search&#8221; by Xirong Li, Cees Snoek, Marcel Worring and Arnold Smeulders, which appears in the August issue of IEEE Transactions on Multimedia, is now available. Searching for the co-occurrence of two visual concepts in unlabeled images is an important step towards answering complex user queries. Traditional visual search [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/\" \/>\n<meta property=\"og:site_name\" content=\"Cees Snoek\" \/>\n<meta property=\"article:published_time\" content=\"2012-07-15T12:57:26+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2012-07-15T13:16:06+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations-300x177.png\" \/>\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\/harvesting-social-images-for-bi-concept-search\/\",\"url\":\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/\",\"name\":\"Harvesting Social Images for Bi-Concept Search - Cees Snoek\",\"isPartOf\":{\"@id\":\"https:\/\/www.ceessnoek.info\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/#primaryimage\"},\"thumbnailUrl\":\"http:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations-300x177.png\",\"datePublished\":\"2012-07-15T12:57:26+00:00\",\"dateModified\":\"2012-07-15T13:16:06+00:00\",\"author\":{\"@id\":\"https:\/\/www.ceessnoek.info\/#\/schema\/person\/4bca975b7c432aeb5dced40bdbc204c1\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/#primaryimage\",\"url\":\"https:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations.png\",\"contentUrl\":\"https:\/\/www.ceessnoek.info\/wp-content\/uploads\/2012\/07\/concept_combinations.png\",\"width\":\"1340\",\"height\":\"795\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/harvesting-social-images-for-bi-concept-search\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.ceessnoek.info\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Harvesting Social Images for Bi-Concept Search\"}]},{\"@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":"Harvesting Social Images for Bi-Concept Search - 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\/harvesting-social-images-for-bi-concept-search\/","og_locale":"en_US","og_type":"article","og_title":"Harvesting Social Images for Bi-Concept Search - Cees Snoek","og_description":"The paper &#8220;Harvesting Social Images for Bi-Concept Search&#8221; by Xirong Li, Cees Snoek, Marcel Worring and Arnold Smeulders, which appears in the August issue of IEEE Transactions on Multimedia, is now available. 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