{"id":2872,"date":"2016-11-02T00:40:06","date_gmt":"2016-11-02T00:40:06","guid":{"rendered":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/?page_id=2872"},"modified":"2016-11-02T01:19:01","modified_gmt":"2016-11-02T01:19:01","slug":"image-as-data-pixels","status":"publish","type":"page","link":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/image-as-data-pixels\/","title":{"rendered":"Image as Data: Pixels"},"content":{"rendered":"<p><strong>Exploring Pixels<\/strong><\/p>\n<p><a href=\"http:\/\/hammer.ucla.edu\/exhibitions\/2015\/charles-gaines-gridwork-1974-1989\/\">Charles Gains, Gridwork.<\/a><\/p>\n<p><strong>Chuck Close<\/strong><\/p>\n<p><a href=\"https:\/\/www.courses.tegabrain.com\/pva-tue\/wp-content\/uploads\/2014\/10\/images-1.jpeg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-693\" src=\"https:\/\/www.courses.tegabrain.com\/pva-tue\/wp-content\/uploads\/2014\/10\/images-1.jpeg\" alt=\"images (1)\" width=\"350\"  \/><\/a><\/p>\n<p>Chuck Close &#8211; Generator<\/p>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" width=\"840\" height=\"473\" src=\"https:\/\/www.youtube.com\/embed\/OKndFPr4vWk?feature=oembed\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>1.40min.<\/p>\n<p><strong>People as pixels<\/strong><br \/>\nWhat else could be understood as a pixel?<br \/>\n<a href=\"https:\/\/www.youtube.com\/watch?v=7Jgkm2pdWgY\">People in stadiums<\/a> in Korea, dancers in an OK Go video (see from 3.30min) who are referencing the <a href=\"https:\/\/www.youtube.com\/watch?v=druwpau_LcM\">Buzby Burkeley dance videos<\/a> of the 1930s. <\/p>\n<p><strong>Daniel Rozin<\/strong><br \/>\n<a href=\"http:\/\/www.smoothware.com\/danny\/\">Daniel Rozin&#8217;s<\/a> practice sculpturally explores the notion of a pixel.<\/p>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" width=\"840\" height=\"473\" src=\"https:\/\/www.youtube.com\/embed\/BZysu9QcceM?feature=oembed\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" src=\"https:\/\/player.vimeo.com\/video\/7067089\" width=\"640\" height=\"480\" frameborder=\"0\" title=\"&quot;Weave Mirror&quot; (2007) by Daniel Rozin\" webkitallowfullscreen mozallowfullscreen allowfullscreen><\/iframe><\/div>\n<p><strong>Images as DataBases<\/strong><br \/>\n<a href=\"https:\/\/github.com\/golanlevin\/ExperimentalCapture\/blob\/master\/docs\/collection-synthesis.md\">See the examples in this Synthesis by Collections<\/a> post by Golan Levin.<\/p>\n<p><strong>Time and Video<\/strong><br \/>\nThe Khronos Projector project \u00a0&#8211;\u00a0<a href=\"http:\/\/www.k2.t.u-tokyo.ac.jp\/members\/alvaro\/Khronos\/\">http:\/\/www.k2.t.u-tokyo.ac.jp\/members\/alvaro\/Khronos\/<\/a><\/p>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" width=\"840\" height=\"630\" src=\"https:\/\/www.youtube.com\/embed\/uUDvGJ5ZnY4?feature=oembed\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>The Last Clock<\/p>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" src=\"https:\/\/player.vimeo.com\/video\/27975734\" width=\"840\" height=\"473\" frameborder=\"0\" title=\"Last Clock\" webkitallowfullscreen mozallowfullscreen allowfullscreen><\/iframe><\/div>\n<p><a href=\"http:\/\/www.joachimsauter.com\/en\/index.html\">JOACHIM SAUTER<\/a><\/p>\n<p><a href=\"http:\/\/www.joachimsauter.com\/en\/work\/invisibleshapes.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-696 size-full\" src=\"https:\/\/www.courses.tegabrain.com\/pva-tue\/wp-content\/uploads\/2014\/10\/big215.jpg\" alt=\"Image converted using ifftoany\" width=\"710\" height=\"473\" \/><\/a><\/p>\n<p>Adam Magyar<\/p>\n<p>Adam Magyar builds his own cameras and scanners! From 2.25 he is talking about how he hacks desktop scanners to build unusual cameras.<\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/MgSz8naAfFI\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><strong>Computer Vision<\/strong><\/p>\n<p>Analyzing pixels is also at the heart of computer vision. A computer takes a frame from a camera, saves it and compares it to the next frame. If pixels colors have changed, it means that there is movement. In this way, a computer can identify faces, identify patches of color or identify movement. <\/p>\n<p>Computer vision is used in a lot of interactive artworks such as this classic, Text Rain by Camille Utterback.<\/p>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" width=\"840\" height=\"630\" src=\"https:\/\/www.youtube.com\/embed\/toWFvXHghDk?feature=oembed\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>Or in this performance piece, Messa di Voce by Zach Lieberman and Golan Levin. <\/p>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" width=\"840\" height=\"630\" src=\"https:\/\/www.youtube.com\/embed\/STRMcmj-gHc?feature=oembed\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>If you are interested, see the text book chapter. Or watch this intro video by Dan Shiffman:<\/p>\n<div class=\"jetpack-video-wrapper\"><iframe loading=\"lazy\" width=\"840\" height=\"473\" src=\"https:\/\/www.youtube.com\/embed\/h8tk0hmWB44?feature=oembed\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Exploring Pixels Charles Gains, Gridwork. Chuck Close Chuck Close &#8211; Generator 1.40min. People as pixels What else could be understood as a pixel? People in stadiums in Korea, dancers in an OK Go video (see from 3.30min) who are referencing the Buzby Burkeley dance videos of the 1930s. Daniel Rozin Daniel Rozin&#8217;s practice sculpturally explores &hellip; <a href=\"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/image-as-data-pixels\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Image as Data: Pixels&#8221;<\/span><\/a><\/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-2872","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/pages\/2872","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/comments?post=2872"}],"version-history":[{"count":3,"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/pages\/2872\/revisions"}],"predecessor-version":[{"id":2876,"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/pages\/2872\/revisions\/2876"}],"wp:attachment":[{"href":"https:\/\/www.courses.tegabrain.com\/2016\/PVA2\/wp-json\/wp\/v2\/media?parent=2872"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}