<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T07:50:30Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/15985" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/15985</identifier><datestamp>2025-07-17T01:14:19Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Multiscale annotation of still images with GAT</dc:title>
   <dc:creator>Giró Nieto, Xavier</dc:creator>
   <dc:creator>Martos Asensio, Manel</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Representació del coneixement</dc:subject>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació</dc:subject>
   <dc:subject>Image processing--Digital techniques</dc:subject>
   <dc:subject>Semantics--Data processing</dc:subject>
   <dc:subject>Imatges -- Processament -- Tècniques digitals</dc:subject>
   <dc:subject>Semàntica computacional</dc:subject>
   <dc:description>This paper presents GAT, a Graphical Annotation Tool for&#xd;
still images that works both at the global and local scales.&#xd;
This interface has been designed to assist users in the an-&#xd;
notation of images with relation to the semantic classes de-&#xd;
scribed in an ontology. Positive, negative and neutral labels&#xd;
can be assigned to both the whole images or parts of them.&#xd;
The user interface is capable of exploiting segmentation data&#xd;
to assist in the selection of objects. Moreover, the annota-&#xd;
tion capabilities are complemented with additional function-&#xd;
alities that allow the creation and evaluation of an image&#xd;
classi er. The implemented Java source code is published&#xd;
under a free software license.</dc:description>
   <dc:description>Postprint (published version)</dc:description>
   <dc:date>2012</dc:date>
   <dc:type>Conference lecture</dc:type>
   <dc:identifier>Giro, X.; Martos, M. Multiscale annotation of still images with GAT. A: International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications. "Proceedings of the First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications". Capri: 2012.</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/15985</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>