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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.2470-1173.2017.14.HVEI-121</article-id>
      <article-id pub-id-type="sici">2470-1173(20170129)2017:14L.85;1-</article-id>
      <article-id pub-id-type="publisher-id">s10.phd</article-id>
      <article-id pub-id-type="other">/ist/ei/2017/00002017/00000014/art00010</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Perceptual Evaluation of Psychovisual Rate-Distortion Enhancement in Video Coding</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Duanmu</surname>
            <given-names>Zhengfang</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Zeng</surname>
            <given-names>Kai</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Wang</surname>
            <given-names>Zhou</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Eisapour</surname>
            <given-names>Mahzar</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>29</day>
        <month>01</month>
        <year>2017</year>
      </pub-date>
      <volume>2017</volume>
      <issue>14</issue>
      <fpage>85</fpage>
      <lpage>90</lpage>
      <permissions>
        <copyright-year>2017</copyright-year>
      </permissions>
      <abstract>
        <p>Psychovisual rate-distortion optimization (Psy-RD) has been used in the industrial video coding practice as a tool to improve perceptual video quality. It has earned significant popularity through the wide spread of the open source x264 video encoders, where the Psy-RD option is employed
 by default. Nevertheless, little work has been dedicated to validate the impact of Psy-RD optimization on perceptual quality, so as to provide meaningful guidance on the practical usage and future development of the idea. In this work, we build a database that contains Psy-RD encoded video
 sequences at different strength and bitrates. A subjective user study is then conducted to evaluate and compare the quality of the Psy-RD encoded videos. We observe that there is considerable agreement between subjects' opinions on the test video sequences. Unfortunately, the impact of Psy-RD
 optimization on video quality does not appear to be encouraging. Somewhat surprisingly, the perceptual quality gain of Psy-RD ON versus Psy-RD OFF cases is negative on average. Our results suggest that Psy-RD optimization should be used with caution. Further investigations show that most state-of-the-art
 full-reference objective quality models correlate well with the subjective experiment results overall. But in terms of the paired comparison between Psy-RD ON and OFF cases, the false alarm rates are moderately high.</p>
      </abstract>
      <kwd-group>
        <kwd>SUBJECTIVE QUALITY ASSESSMENT</kwd>
        <kwd>PSYCHOVISUAL RATE-DISTORTION OPTIMIZATION</kwd>
        <kwd>VIDEO CODING</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
