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Submitted URL: http://gbgi9u07.imag.fr/
Effective URL: http://gbgi9u07.imag.fr/doku.php
Submission: On January 24 via api from US — Scanned from FR

Form analysis 9 forms found in the DOM

POST /doku.php

<form class="button btn_source" method="post" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="edit"><input type="hidden" name="id" value="start"><button type="submit" accesskey="v" title="Show pagesource [V]">Show pagesource</button></div>
</form>

GET /doku.php

<form class="button btn_revs" method="get" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="revisions"><input type="hidden" name="id" value="start"><button type="submit" accesskey="o" title="Old revisions [O]">Old revisions</button></div>
</form>

GET /doku.php

<form class="button btn_recent" method="get" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="recent"><input type="hidden" name="id" value="start"><button type="submit" accesskey="r" title="Recent Changes [R]">Recent Changes</button></div>
</form>

GET /doku.php?id=start

<form action="/doku.php?id=start" method="get" role="search" class="search doku_form" id="dw__search" accept-charset="utf-8"><input type="hidden" name="do" value="search"><input type="hidden" name="id" value="start">
  <div class="no"><input name="q" type="text" class="edit" title="[F]" accesskey="f" placeholder="Search" autocomplete="on" id="qsearch__in" value=""><button value="1" type="submit" title="Search">Search</button>
    <div id="qsearch__out" class="ajax_qsearch JSpopup"></div>
  </div>
</form>

POST /doku.php

<form class="button btn_source" method="post" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="edit"><input type="hidden" name="id" value="start"><button type="submit" accesskey="v" title="Show pagesource [V]">Show pagesource</button></div>
</form>

GET /doku.php

<form class="button btn_revs" method="get" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="revisions"><input type="hidden" name="id" value="start"><button type="submit" accesskey="o" title="Old revisions [O]">Old revisions</button></div>
</form>

GET /doku.php

<form class="button btn_media" method="get" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="media"><input type="hidden" name="ns" value=""><input type="hidden" name="id" value="start"><button type="submit" title="Media Manager">Media Manager</button></div>
</form>

GET /doku.php

<form class="button btn_login" method="get" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="login"><input type="hidden" name="sectok" value=""><input type="hidden" name="id" value="start"><button type="submit" title="Log In">Log In</button></div>
</form>

GET /doku.php

<form class="button btn_index" method="get" action="/doku.php">
  <div class="no"><input type="hidden" name="do" value="index"><input type="hidden" name="id" value="start"><button type="submit" accesskey="x" title="Sitemap [X]">Sitemap</button></div>
</form>

Text Content

[[start]]
gbgi9u07.imag.fr

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−TABLE OF CONTENTS

 * GBGI9U07 - Documents multimédia : description et recherche automatique
   * Supports de cours
   * TPs et projet
   * Sujets d'examens des années précédentes


GBGI9U07 - DOCUMENTS MULTIMÉDIA : DESCRIPTION ET RECHERCHE AUTOMATIQUE

Description : Documents multimédia : description et recherche automatique
(2021).

Responsable : Georges Quénot.






SUPPORTS DE COURS

Les supports de cours sont mis à jour chaque année. Ne les imprimez qu'après le
cours correspondant.

 * Rappels Mathématiques :
 * Partie 1 : Algèbre linéaire
 * Partie 2 : Calcul différentiel

 * 1. Introduction, descriptors and correspondence (jusqu'à points d'intérêt).
 * 2. Evaluation of indexing and retrieval methods.
 * 3. Classical machine Learning for multimedia indexing.
 * 4. Deep Learning for multimedia indexing and retrieval.
 * 5. Multimedia Retrieval.




TPS ET PROJET

 * Installations
 * TP1 - Recherche par similarité par histogrammes de couleur.
 * TP2 - Recherche par similarité par transformée de Gabor.



 * Projet - Système de classification d'images par apprendissage profond.
 * Accès Grid'5000 - Veillez à respecter les règles.


SUJETS D'EXAMENS DES ANNÉES PRÉCÉDENTES

 * Examen 2018-2019
 * Examen 2019-2020
 * Examen 2020-2021
 * Examen 2021-2022
 * Examen 2022-2023




start.txt · Last modified: 2024/01/24 10:21 by quenot
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