{"id":36442,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/recuperacion-visual-con-redes-no-cartesianas-adaptadas\/"},"modified":"1998-01-01T00:00:00","modified_gmt":"1998-01-01T00:00:00","slug":"recuperacion-visual-con-redes-no-cartesianas-adaptadas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-tecnologicas\/recuperacion-visual-con-redes-no-cartesianas-adaptadas\/","title":{"rendered":"Recuperacion visual con redes no cartesianas adaptadas."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Serra Alvarez Juan  Ramon <\/strong><\/h2>\n<p>En esta disertaci\u00f3n se aborda el problema de la segregaci\u00f3n figura\/fondo en el contexto de la recuperaci\u00f3n de im\u00e1genes por contenido visual, utilizando consultas sem\u00e1nticas basadas en la existencia de objetos.  en el n\u00facleo central de esta tesis, se propone un procedimiento para soportar la recuperaci\u00f3n por contenido sem\u00e1ntico, basada en la existencia de objetos, fijando de esta forma un marco para la organizaci\u00f3n perceptual \u00fatil para abordar los problemas existentes en la recuperaci\u00f3n de im\u00e1genes.  las curvas de referencia son curvas virtuales sobre las im\u00e1genes que atraviesan las fronteras de los objetos.  estas curvas pueden ser utilizadas para realizar otras tareas visuales o para guiar procesos c\u00f3mo el reconocimiento, la indexaci\u00f3n o la recuperaci\u00f3n de im\u00e1genes. Se introduce la localizaci\u00f3n y extracci\u00f3n de curvas de referencia en im\u00e1genes con fondos complejos.  la contribuci\u00f3n central de esta tesis es la definici\u00f3n de las redes no cartesianas adaptadas, espacios de curvas que permiten localizar las regiones con m\u00e1s saliencia cognitiva del est\u00edmulo visual que se presenta. Mediante la exploraci\u00f3n de estos espacios, el esquema computacional que se presenta es capaz de localizar las diferentes curvas de referencia representando las regiones m\u00e1s salientes, directamente sobre el est\u00edmulo visual. Las redes no cartesianas adaptadas se basan en situar l\u00edneas rectas utilizando una funci\u00f3n de distribuci\u00f3n adaptada al est\u00edmulo visual de entrada.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Recuperacion visual con redes no cartesianas adaptadas.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Recuperacion visual con redes no cartesianas adaptadas. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Serra Alvarez Juan  Ramon <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1998<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li> Subirana Vilanova J. Brian<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Juan  Jose Villanueva Pipa\u00f3n <\/li>\n<li>Jordi Saludes Closa (vocal)<\/li>\n<li>Jos\u00e9 Antonio Aznar Casanova (vocal)<\/li>\n<li>Alberto Del Bimbo (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Serra Alvarez Juan Ramon En esta disertaci\u00f3n se aborda el problema de la segregaci\u00f3n figura\/fondo en el [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[332,12858,2535],"tags":[96479,96294,54652,15895,96477,96478],"class_list":["post-36442","post","type-post","status-publish","format-standard","hentry","category-ciencias-tecnologicas","category-sistemas-de-reconocimiento-de-caracteres","category-tecnologia-de-los-ordenadores","tag-alberto-del-bimbo","tag-jordi-saludes-closa","tag-jose-antonio-aznar-casanova","tag-juan-jose-villanueva-pipaon","tag-serra-alvarez-juan-ramon","tag-subirana-vilanova-j-brian"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/36442","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=36442"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/36442\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=36442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=36442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=36442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}