{"id":58980,"date":"2018-03-09T22:46:49","date_gmt":"2018-03-09T22:46:49","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/low-complexity-mpeg2-to-h-264-video-transcoding\/"},"modified":"2018-03-09T22:46:49","modified_gmt":"2018-03-09T22:46:49","slug":"low-complexity-mpeg2-to-h-264-video-transcoding","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/low-complexity-mpeg2-to-h-264-video-transcoding\/","title":{"rendered":"Low complexity mpeg2 to h.264 video transcoding"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Gerardo Fernandez Escribano <\/strong><\/h2>\n<p>El problema planteado, en la tesis doctoral, fue resuelto mediante tres propuestas matem\u00e1ticas: 1. El empleo del coeficiente de continua (dc) de la transformada discreta coseno (dct). El coeficiente dc de los bloques de 8&#215;8 de la dct (domino de las frecuencias) representa la suma de todos los valores de la matriz (domino espacial), dividido por 8. Por lo que, si se calcula la diferencia, en valor absoluto, de los coeficientes de dc de dos matrices 8&#215;8, obtenemos una estimaci\u00f3n r\u00e1pida de la diferencia del valor medio de los valores de las matrices. Este principio, adquiere una gran representatividad en el domino de las frecuencias, ya que la mayor parte de los est\u00e1ndares de codificaci\u00f3n de im\u00e1genes suelen emplear la dct, y m\u00e1s concretamente el coeficiente de dc y los valores pr\u00f3ximos a \u00e9l para el almacenamiento de im\u00e1genes. Por otra parte, el c\u00e1lculo del coeficiente de dc de una matriz 16&#215;16 se calcul\u00f3 de forma r\u00e1pida mediante el empleo de los coeficientes de dc de cuatro matrices 8&#215;8. 2. El empleo de estad\u00edsticos (media y varianza) para la localizaci\u00f3n en im\u00e1genes, de zonas con gran cantidad de informaci\u00f3n y detalle (contornos), y de zonas con poca informaci\u00f3n (fondos). Una vez obtenida esta clasificaci\u00f3n, la informaci\u00f3n es procesa mediante t\u00e9cnicas estad\u00edsticas, para la creaci\u00f3n de \u00e1rboles de decisi\u00f3n basados en reglas (miner\u00eda de datos y aprendizaje autom\u00e1tico). 3. El empleo del teorema de pit\u00e1goras en la definici\u00f3n de espacios de b\u00fasqueda esf\u00e9ricos, para la optimizaci\u00f3n de los vectores de movimiento en est\u00e1ndares de codificaci\u00f3n de v\u00eddeo. Se entiende por vector de movimiento, a los vectores que indican la direcci\u00f3n y el sentido del movimiento entre dos fotogramas consecutivos en una secuencia de v\u00eddeo.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Low complexity mpeg2 to h.264 video transcoding<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Low complexity mpeg2 to h.264 video transcoding <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Gerardo Fernandez Escribano <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Castilla-la mancha<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 13\/06\/2007<\/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> Cuenca Castillo Pedro Angel<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Quiles flor Francisco jose <\/li>\n<li>hari Kalva (vocal)<\/li>\n<li>andre Kaup (vocal)<\/li>\n<li>Manuel Perez malumbres (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Gerardo Fernandez Escribano El problema planteado, en la tesis doctoral, fue resuelto mediante tres propuestas matem\u00e1ticas: 1. [&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":[4810,18451,15977,2528,5688],"tags":[130332,65542,130330,130331,120913,11901],"class_list":["post-58980","post","type-post","status-publish","format-standard","hentry","category-arquitectura-de-ordenadores","category-castilla-la-mancha","category-diseno-con-ayuda-de-ordenador","category-inteligencia-artificial","category-tecnicas-de-inferencia-estadistica","tag-andre-kaup","tag-cuenca-castillo-pedro-angel","tag-gerardo-fernandez-escribano","tag-hari-kalva","tag-manuel-perez-malumbres","tag-quiles-flor-francisco-jose"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/58980","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=58980"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/58980\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=58980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=58980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=58980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}