I am working my ass off.<\/p>\n
And, as with the entirety of my professional career, the stuff I’m working my ass off at is only very tangentially related to what I studied in school, and not related at all to what I specialized in.<\/p>\n
Just in case you didn’t know, the focus of my last couple of years of university was on image processing<\/a> and pattern recognition<\/a>. As you can imagine, being the software architect for a security company doesn’t hit that too much.<\/p>\n But I do like to keep my hand in by keeping up with papers and presentations, and what have you. And today I saw something that just made my inner nerd as happy as a clam.<\/p>\n What I saw was Ariel Shamir<\/a>‘s SIGGRAPH 2007<\/a> paper on Seam Carving for Content-Aware Image Resizing<\/a>. Talking about this in terms of “resizing” is a pretty big understatement, since what they are doing is actually a lot more about a kind of feature extraction that allows images to be “retargeted” to lose uninteresting information, which is useful in content-aware resizing, but there are a lot of other applications, some of which they show in the presentation.<\/p>\n If you want to read the hard academic details, you can read them here<\/a>, but unless you have some academic nerd credentials in this area I’d recommend just watching the video of the presentation<\/a>–even if you’re not a nerd in this area, the presentation should blow your mind. They do a great job of making the ideas and technology understandable.<\/p>\n No really, go watch it<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" I am working my ass off. And, as with the entirety of my professional career, the stuff I’m working my ass off at is only very tangentially related to what I studied in school, and not related at all to what I specialized in. Just in case you didn’t know, the focus of my last couple of years of university… Read more →<\/a><\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[3],"tags":[],"class_list":["post-972","post","type-post","status-publish","format-standard","hentry","category-technology","xfolkentry"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p5UQvw-fG","_links":{"self":[{"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/posts\/972","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/comments?post=972"}],"version-history":[{"count":0,"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/posts\/972\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/media?parent=972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/categories?post=972"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.chrismclaren.com\/blog\/wp-json\/wp\/v2\/tags?post=972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}