<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of cea-01841662</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-24T22:25:32+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Scale-Free Content Based Image Retrieval (or Nearly so)</title>
            <author role="aut">
              <persName>
                <forename type="first">A.</forename>
                <surname>Popescu</surname>
              </persName>
              <idno type="halauthorid">268748-0</idno>
              <affiliation ref="#struct-241319"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">A.</forename>
                <surname>Ginsca</surname>
              </persName>
              <idno type="halauthorid">1400135-0</idno>
              <affiliation ref="#struct-241319"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Hervé</forename>
                <surname>Le Borgne</surname>
              </persName>
              <email type="md5">56ea649a249c59b0f72edac99322c287</email>
              <email type="domain">cea.fr</email>
              <idno type="idhal" notation="string">herve-le-borgne</idno>
              <idno type="idhal" notation="numeric">181478</idno>
              <idno type="halauthorid" notation="string">1029-181478</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-0520-8436</idno>
              <idno type="IDREF">https://www.idref.fr/079208452</idno>
              <affiliation ref="#struct-241319"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Léna</forename>
                <surname>Le Roy</surname>
              </persName>
              <email type="md5">2c84e4e50fd9b6061d6b0806d779693e</email>
              <email type="domain">cea.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2018-07-17 14:35:14</date>
              <date type="whenModified">2024-09-03 11:16:05</date>
              <date type="whenReleased">2018-07-17 14:35:14</date>
              <date type="whenProduced">2017-10-22</date>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="607572">
                <persName>
                  <forename>Léna</forename>
                  <surname>Le Roy</surname>
                </persName>
                <email type="md5">2c84e4e50fd9b6061d6b0806d779693e</email>
                <email type="domain">cea.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">cea-01841662</idno>
            <idno type="halUri">https://cea.hal.science/cea-01841662</idno>
            <idno type="halBibtex">popescu:cea-01841662</idno>
            <idno type="halRefHtml">&lt;i&gt;2017 IEEE International Conference on Computer Vision Workshops (ICCVW)&lt;/i&gt;, Oct 2017, Venice, Italy. pp.280-288, &lt;a target="_blank" href="https://dx.doi.org/10.1109/ICCVW.2017.42"&gt;&amp;#x27E8;10.1109/ICCVW.2017.42&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Oct 2017, Venice, Italy. pp.280-288, &amp;#x27E8;10.1109/ICCVW.2017.42&amp;#x27E9;</idno>
            <availability status="restricted"/>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CEA">CEA - Commissariat à l'énergie atomique</idno>
            <idno type="stamp" n="DRT" corresp="CEA">Direction de la recherche technologique</idno>
            <idno type="stamp" n="CEA-UPSAY" corresp="CEA">CEA - Université Paris-Saclay</idno>
            <idno type="stamp" n="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
            <idno type="stamp" n="CEA-UPSAY-SACLAY" corresp="CEA">CEA-UPSAY-SACLAY</idno>
            <idno type="stamp" n="LIST" corresp="CEA">Laboratoire d'Intégration des Systèmes et des Technologies</idno>
            <idno type="stamp" n="GS-ENGINEERING">Graduate School Sciences de l'Ingénierie et des Systèmes</idno>
            <idno type="stamp" n="GS-COMPUTER-SCIENCE">Graduate School Computer Science</idno>
            <idno type="stamp" n="GS-SPORT-HUMAN-MOVEMENT">Graduate School Sport, Mouvement, Facteurs Humains</idno>
          </seriesStmt>
          <notesStmt>
            <note type="commentary">Conference of 16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017 ; Conference Date: 22 October 2017 Through 29 October 2017; Conference Code:134301</note>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Scale-Free Content Based Image Retrieval (or Nearly so)</title>
                <author role="aut">
                  <persName>
                    <forename type="first">A.</forename>
                    <surname>Popescu</surname>
                  </persName>
                  <idno type="halauthorid">268748-0</idno>
                  <affiliation ref="#struct-241319"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">A.</forename>
                    <surname>Ginsca</surname>
                  </persName>
                  <idno type="halauthorid">1400135-0</idno>
                  <affiliation ref="#struct-241319"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Hervé</forename>
                    <surname>Le Borgne</surname>
                  </persName>
                  <email type="md5">56ea649a249c59b0f72edac99322c287</email>
                  <email type="domain">cea.fr</email>
                  <idno type="idhal" notation="string">herve-le-borgne</idno>
                  <idno type="idhal" notation="numeric">181478</idno>
                  <idno type="halauthorid" notation="string">1029-181478</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-0520-8436</idno>
                  <idno type="IDREF">https://www.idref.fr/079208452</idno>
                  <affiliation ref="#struct-241319"/>
                </author>
              </analytic>
              <monogr>
                <meeting>
                  <title>2017 IEEE International Conference on Computer Vision Workshops (ICCVW)</title>
                  <date type="start">2017-10-22</date>
                  <settlement>Venice</settlement>
                  <country key="IT">Italy</country>
                </meeting>
                <imprint>
                  <publisher>Institute of Electrical and Electronics Engineers Inc.</publisher>
                  <biblScope unit="volume">2018-January</biblScope>
                  <biblScope unit="pp">280-288</biblScope>
                  <date type="datePub">2018</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1109/ICCVW.2017.42</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en"> Content based retrieval</term>
                <term xml:lang="en"> Textual annotations</term>
                <term xml:lang="en"> Social media</term>
                <term xml:lang="en"> Semantic features</term>
                <term xml:lang="en"> Search complexity</term>
                <term xml:lang="en"> Retrieval methods</term>
                <term xml:lang="en"> Inverted indices</term>
                <term xml:lang="en"> Feature dimensions</term>
                <term xml:lang="en"> Content based image retrieval</term>
                <term xml:lang="en"> Semantics</term>
                <term xml:lang="en"> Indexing (of information)</term>
                <term xml:lang="en"> Economic and social effects</term>
                <term xml:lang="en">Computer vision</term>
              </keywords>
              <classCode scheme="halDomain" n="spi">Engineering Sciences [physics]</classCode>
              <classCode scheme="halDomain" n="info">Computer Science [cs]</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>When textual annotations of Web and social media images are poor or missing, content-based image retrieval is an interesting way to access them. Finding an optimal trade-off between accuracy and scalability for CBIR is challenging in practice. We propose a retrieval method whose complexity is nearly independent of the collection scale and does not degrade results quality. Images are represented with sparse semantic features that can be stored as an inverted index. Search complexity is drastically reduced by (1) considering the query feature dimensions independently and thus turning search into a concatenation operation and (2) pruning the index in function of a retrieval objective. To improve precision, the inverted index look-up is complemented with an exhaustive search over a fixed size list of intermediary results. We run experiments with three public collections and results show that our much faster method slightly outperforms an exhaustive search done with two competitive baselines.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="department" xml:id="struct-241319" status="VALID">
          <idno type="RNSR">200822618E</idno>
          <orgName>Département Intelligence Ambiante et Systèmes Interactifs</orgName>
          <orgName type="acronym">DIASI (CEA, LIST)</orgName>
          <desc>
            <address>
              <addrLine>CEA Saclay - Nanoinnov 91191 Gif-Sur-Yvette Cedex</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation name="DRT/LIST/DIASI" active="#struct-40217" type="direct"/>
            <relation name="DRT/LIST" active="#struct-440043" type="indirect"/>
            <relation name="DRT" active="#struct-300016" type="indirect"/>
            <relation active="#struct-419361" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-40217" status="VALID">
          <idno type="IdRef">156836882</idno>
          <idno type="ISNI">0000 0004 0405 1788</idno>
          <idno type="RNSR">200118591H</idno>
          <idno type="ROR">https://ror.org/000dbcc61</idno>
          <idno type="Wikidata">Q30299467</idno>
          <orgName>Laboratoire d'Intégration des Systèmes et des Technologies</orgName>
          <orgName type="acronym">LIST (CEA)</orgName>
          <desc>
            <address>
              <addrLine>DRT/LISTNano-INNOVAvenue de la Vauve91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www-list.cea.fr/</ref>
          </desc>
          <listRelation>
            <relation name="DRT/LIST" active="#struct-440043" type="direct"/>
            <relation name="DRT" active="#struct-300016" type="indirect"/>
          </listRelation>
        </org>
        <org type="regrouplaboratory" xml:id="struct-440043" status="VALID">
          <idno type="IdRef">067087930</idno>
          <idno type="ISNI">0000000121157881</idno>
          <idno type="RNSR">199018589D</idno>
          <idno type="ROR">https://ror.org/02ggzyd20</idno>
          <idno type="Wikidata">Q30299418</idno>
          <orgName>Direction de Recherche Technologique (CEA)</orgName>
          <orgName type="acronym">DRT (CEA)</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.drt-cea.com/</ref>
          </desc>
          <listRelation>
            <relation name="DRT" active="#struct-300016" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300016" status="VALID">
          <idno type="IdRef">026372061</idno>
          <idno type="ISNI">0000000122998025</idno>
          <idno type="ROR">https://ror.org/00jjx8s55</idno>
          <idno type="Wikidata">Q868550</idno>
          <orgName>Commissariat à l'énergie atomique et aux énergies alternatives</orgName>
          <orgName type="acronym">CEA</orgName>
          <desc>
            <address>
              <addrLine>Centre de SaclayCentre de GrenobleCentre de Cadaracheetc</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.cea.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-419361" status="VALID">
          <idno type="IdRef">241345251</idno>
          <idno type="ROR">https://ror.org/03xjwb503</idno>
          <orgName>Université Paris-Saclay</orgName>
          <desc>
            <address>
              <addrLine>Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universite-paris-saclay.fr/fr</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>