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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2020.11.HVEI-092</article-id>
      <article-id pub-id-type="sici">2470-1173(20200126)2020:11L.921;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2020n11_input/s7.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2020/00002020/00000011/art00005</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Open Software Framework for Collaborative Development of No Reference Image and Video Quality Metrics</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Pinson</surname>
            <given-names>Margaret H.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Corriveau</surname>
            <given-names>Philip J.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Leszczuk</surname>
            <given-names>Mikołaj</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Colligan</surname>
            <given-names>Michael</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>26</day>
        <month>01</month>
        <year>2020</year>
      </pub-date>
      <volume>2020</volume>
      <issue>11</issue>
      <fpage>92-1</fpage>
      <lpage>92-6</lpage>
      <permissions>
        <copyright-year>2020</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>This paper describes ongoing work within the video quality experts group (VQEG) to develop no-reference (NR) audiovisual video quality analysis (VQA) metrics. VQEG provides an open forum that encourages knowledge sharing and collaboration. The VQEG no-reference Metric (NORM) group’s
 goal is to develop open-source NR-VQA metrics that meet industry requirements for scope, accuracy, and capability. This paper presents industry specifications from discussions at VQEG face-to-face meetings among industry, academic, and government participants. This paper also announces an
 open software framework for collaborative development of NR image quality Analysis (IQA) and VQA metrics &lt;ext-link ext-link-type="url" xlink:href="https://github.com/NTIA/NRMetricFramework"&gt;&lt;https://github.com/NTIA/NRMetricFramework&gt;&lt;/ext-link&gt;. This framework includes the
 support tools necessary to begin research and avoid common mistakes. VQEG’s goal is to produce a series of NR-VQA metrics with progressively improving scope and accuracy. This work draws upon and enables IQA metric research, as both use the human visual system to analyze the quality
 of audiovisual media on modern displays. Readers are invited to participate. </italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>video quality</kwd>
        <kwd>image quality</kwd>
        <kwd>open source</kwd>
        <kwd>no reference metric</kwd>
        <kwd>NR</kwd>
        <kwd>image quality analysis</kwd>
        <kwd>video quality analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
