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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Energy-Aware Images - Abstract⋆</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Olivier Le Meur</string-name>
          <email>olivier.lemeur@interdigital.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Eriksson, B. Penzenstadler, AK. Peters, C. C. Venters. Joint Proceedings of ICT4S 2023 Doctoral Symposium</institution>
          ,
          <addr-line>Demonstrations</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>In: B. Combemale</institution>
          ,
          <addr-line>G. Mussbacher, S. Betz, A. Friday, I. Hadar, J. Sallou, I. Groher, H. Muccini, O. Le Meur, C. Herglotz, E</addr-line>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>InterDigital</institution>
          ,
          <addr-line>975 Avenue des Champs Blancs, 35576 Cesson-Sévigné</addr-line>
          ,
          <country country="FR">France</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <abstract>
        <p>In the context of climate change and worldwide energy crisis, reducing both the environmental impact and the energy consumption of the video chain is a requirement for any actor in the ifeld. Each step, from production, encoding, transmission, to decoding and rendering on screens participates to the overall energy consumption, but it is commonly agreed that displays account for a large part of the energy consumption [1]. Modifying videos and images so that they consume less energy when displayed has been already proposed in the literature and devices, via e.g., reducing the overall luminance level. Most of these technologies are looking for a trade-of between the Quality of Experience (QoE) and the Energy Reduction of displays [2, 3, 4]. In this presentation, we propose a new method based on the proposition of Shin et al. [3] and Nugroho and Ruan [4]. Given an input image and an energy saving rate, we also directly compute a pixel-wise dimming map which, once applied on the image, will decrease the light level, while maximizing the Quality of Experience. Figure 1 presents the implementation in a context of video transmission.</p>
      </abstract>
      <kwd-group>
        <kwd>energy consumption</kwd>
        <kwd>display devices</kwd>
        <kwd>attenuation map</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        standardization contribution [
        <xref ref-type="bibr" rid="ref5 ref6 ref7">5, 6, 7</xref>
        ].
      </p>
      <p>Acknowledgments
This work has been achieved in the context of the project 3EMS-2 funded by the “Région Bretagne”,
Rennes Métropole, co-funded by E.U and supported by “Images et Réseaux”.</p>
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