{"id":107306,"date":"2020-05-19T13:45:47","date_gmt":"2020-05-19T20:45:47","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/05\/a-system-to-produce-context-aware-captions-for-news-images"},"modified":"2020-05-19T13:45:47","modified_gmt":"2020-05-19T20:45:47","slug":"a-system-to-produce-context-aware-captions-for-news-images","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/05\/a-system-to-produce-context-aware-captions-for-news-images","title":{"rendered":"A system to produce context-aware captions for news images"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/a-system-to-produce-context-aware-captions-for-news-images3.jpg\"><\/a><\/p>\n<p>Computer systems that can automatically generate image captions have been around for several years. While many of these techniques perform considerably well, the captions they produce are typically generic and somewhat uninteresting, containing simple descriptions such as \u201ca dog is barking\u201d or \u201ca man is sitting on a bench.\u201d<\/p>\n<p>Alasdair Tran, Alexander Mathews and Lexing Xie at the Australian National University have been trying to develop new systems that can generate more sophisticated and descriptive image captions. In <a href=\"https:\/\/arxiv.org\/abs\/2004.08070\">a paper recently pre-published on arXiv<\/a>, they introduced an automatic captioning system for news images that takes the general context behind an image into account while generating new captions. The goal of their study was to enable the creation of captions that are more detailed and more closely resemble those written by humans.<\/p>\n<p>\u201cWe want to go beyond merely describing the obvious and boring visual details of an image,\u201d Xie told TechXplore. \u201cOur lab has already done work that makes image captions <a href=\"http:\/\/cm.cecs.anu.edu.au\/post\/senticap\/\">sentimental<\/a> and <a href=\"http:\/\/cm.cecs.anu.edu.au\/post\/semstyle\/\">romantic<\/a>, and this work is a continuation on a different dimension. In this new direction, we wanted to focus on the context.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computer systems that can automatically generate image captions have been around for several years. While many of these techniques perform considerably well, the captions they produce are typically generic and somewhat uninteresting, containing simple descriptions such as \u201ca dog is barking\u201d or \u201ca man is sitting on a bench.\u201d Alasdair Tran, Alexander Mathews and Lexing [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1523],"tags":[],"class_list":["post-107306","post","type-post","status-publish","format-standard","hentry","category-computing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/107306","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=107306"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/107306\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=107306"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=107306"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=107306"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}