<!DOCTYPE article PUBLIC '-//NLM//DTD Journal Publishing DTD v2.1 20050630//EN' 'http://uploads.ingentaconnect.com/docs/dtd/ingenta-journalpublishing.dtd'>
<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.2470-1173.2017.10.IMAWM-167</article-id>
      <article-id pub-id-type="sici">2470-1173(20170129)2017:10L.51;1-</article-id>
      <article-id pub-id-type="publisher-id">s8.phd</article-id>
      <article-id pub-id-type="other">/ist/ei/2017/00002017/00000010/art00008</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Interactive Segmentation For Indoor Scenes</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Tai</surname>
            <given-names>Chun-Jung</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Liu</surname>
            <given-names>Tongyang</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Bagchi</surname>
            <given-names>Judy</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Zhu</surname>
            <given-names>Fengqing M.</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Allebach</surname>
            <given-names>Jan P.</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>29</day>
        <month>01</month>
        <year>2017</year>
      </pub-date>
      <volume>2017</volume>
      <issue>10</issue>
      <fpage>51</fpage>
      <lpage>59</lpage>
      <permissions>
        <copyright-year>2017</copyright-year>
      </permissions>
      <abstract>
        <p>We present a click-based interactive segmentation for indoor scenes, which allows the user to select an object or region within the scene in a few clicks. The goal for the click-based approach is to provide the user with a simple method to reduce the amount of input required for segmentation.
 We first present an effective global segmentation strategy, which provides a rough separation of different textures. The user, then, places a few clicks to segment the target. A novel Trimap assignment strategy is proposed to utilize the click information. To study the performance of our method,
 psychophysical experiments were conducted to compare our click-based approach with other existing methods.</p>
      </abstract>
      <kwd-group>
        <kwd>IMAGE SEGMENTATION</kwd>
        <kwd>INTERACTIVE SEGMENTATION</kwd>
        <kwd>INDOOR SCENE SEGMENTATION</kwd>
        <kwd>GRAPH CUT</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
