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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>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2016.13.IQSP-206</article-id>
      <article-id pub-id-type="sici">2470-1173(20160214)2016:13L.1;1-</article-id>
      <article-id pub-id-type="publisher-id">s10.phd</article-id>
      <article-id pub-id-type="other">/ist/ei/2016/00002016/00000013/art00010</article-id>
      <article-categories>
        <subj-group>
          <subject>Objective Quality Assessment</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Applicability of Existing Objective Metrics of Perceptual Quality for Adaptive Video Streaming</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Søgaard</surname>
            <given-names>Jacob</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Krasula</surname>
            <given-names>Lukáš</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Shahid</surname>
            <given-names>Muhammad</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Temel</surname>
            <given-names>Dogancan</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Brunnström</surname>
            <given-names>Kjell</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Razaak</surname>
            <given-names>Manzoor</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>14</day>
        <month>02</month>
        <year>2016</year>
      </pub-date>
      <volume>2016</volume>
      <issue>13</issue>
      <fpage>1</fpage>
      <lpage>7</lpage>
      <permissions>
        <copyright-year>2016</copyright-year>
      </permissions>
      <abstract>
        <p>Objective video quality metrics are designed to estimate the quality of experience of the end user. However, these objective metrics are usually validated with video streams degraded under common distortion types. In the presented work, we analyze the performance of published and known
 full-reference and noreference quality metrics in estimating the perceived quality of adaptive bit-rate video streams knowingly out of scope. Experimental results indicate not surprisingly that state of the art objective quality metrics overlook the perceived degradations in the adaptive video
 streams and perform poorly in estimating the subjective quality results.</p>
      </abstract>
    </article-meta>
  </front>
</article>
