Name-face association with web facial image supervision View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Zhineng Chen, Wei Zhang, Bin Deng, Hongtao Xie, Xiaoyan Gu

ABSTRACT

This paper describes methods for automatically associating faces detected from multimedia documents with their names presented in the surrounding metadata. We consider the task in the image matching (IM) framework, where external Web facial images are automatically retrieved as the gallery face set of the names in advance, and a detected face is assigned to one of the names, or none of them, according to the association score between the two kinds of faces and constraints. Several important issues are investigated within the IM framework. In collecting Web facial images, beyond the basic scheme that use a celebrity name purely as the query to crawl facial images, a context-assisted image search method is proposed to enhance the relevance and discriminability of the retrieved faces. In constraint formulation, we propose an assigning-thresholding (AT) pipeline to uniformly ensure that the name-face correspondence is strictly one-to-one, and set low confidence associations as null assignments. In association score computation, we propose methods that jointly consider IM with the well-established graph-based association (GA) method at different stages, aiming at producing more accurate scores to benefit the association. Based on these efforts, an Accu-IM method performing the association as accurate as possible and a Fast-IM method performing the association in real-time are respective proposed. Extensive experiments on datasets of captioned News images and Web videos both demonstrate the advantages of the proposed efforts individually and jointly, which consistently provide improvement gains under different settings when compared with state-of-the-art methods. More... »

PAGES

1-20

References to SciGraph publications

  • 2011-10. Web video retagging in MULTIMEDIA TOOLS AND APPLICATIONS
  • 2014-09. Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues in JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
  • 2016. Context-Oriented Name-Face Association in Web Videos in ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2016
  • 2014. Video to Article Hyperlinking by Multiple Tag Property Exploration in MULTIMEDIA MODELING
  • 2012-01. Face Recognition from Caption-Based Supervision in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00530-017-0544-y

    DOI

    http://dx.doi.org/10.1007/s00530-017-0544-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084022569


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Institute of Automation", 
              "id": "https://www.grid.ac/institutes/grid.429126.a", 
              "name": [
                "Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Zhineng", 
            "id": "sg:person.012273373467.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012273373467.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Information Engineering", 
              "id": "https://www.grid.ac/institutes/grid.458480.5", 
              "name": [
                "Institute of Information Engineering, Chinese Academy of Sciences, 100093, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Wei", 
            "id": "sg:person.011075166225.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011075166225.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hunan University of Technology", 
              "id": "https://www.grid.ac/institutes/grid.411431.2", 
              "name": [
                "School of Computer Science, Hunan University of Technology, 412007, Hunan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deng", 
            "givenName": "Bin", 
            "id": "sg:person.010010301573.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010010301573.93"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Information Engineering", 
              "id": "https://www.grid.ac/institutes/grid.458480.5", 
              "name": [
                "Institute of Information Engineering, Chinese Academy of Sciences, 100093, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xie", 
            "givenName": "Hongtao", 
            "id": "sg:person.013416520456.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013416520456.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Information Engineering", 
              "id": "https://www.grid.ac/institutes/grid.458480.5", 
              "name": [
                "Institute of Information Engineering, Chinese Academy of Sciences, 100093, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gu", 
            "givenName": "Xiaoyan", 
            "id": "sg:person.013471271203.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013471271203.97"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-319-04114-8_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001243168", 
              "https://doi.org/10.1007/978-3-319-04114-8_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11263-011-0447-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003839794", 
              "https://doi.org/10.1007/s11263-011-0447-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2072298.2071909", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004907968"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1027527.1027666", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008627092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2072298.2072021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010863565"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.patcog.2009.10.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012125792"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2009916.2009989", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014918028"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2488388.2488515", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017435325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1991996.1992038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018451511"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11390-014-1468-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020853577", 
              "https://doi.org/10.1007/s11390-014-1468-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2600428.2609568", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022304122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/954339.954342", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024296753"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1459359.1459468", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027779072"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2671188.2749401", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028529103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.patcog.2011.12.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032116297"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2647868.2654942", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037093687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2393347.2393383", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037167092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jvcir.2013.04.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039974890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1101149.1101155", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041022634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-48896-7_62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043016895", 
              "https://doi.org/10.1007/978-3-319-48896-7_62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2461466.2461477", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044261422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1873951.1874162", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044931210"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11042-010-0604-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045673257", 
              "https://doi.org/10.1007/s11042-010-0604-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jvcir.2013.06.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047336599"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/93.752960", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061248890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/jproc.2010.2044551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061297237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mmul.2011.22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061410255"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcsvt.2011.2148470", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061575798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcsvt.2014.2319671", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061576315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcsvt.2015.2504738", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061576664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tie.2012.2216237", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061625777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tip.2012.2236341", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061643453"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tip.2016.2590321", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061645118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tip.2016.2601491", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061645175"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2009.2030629", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061697674"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2009.2036232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061697694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2010.2050651", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061697725"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2011.2165053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061697866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2011.2167224", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061697878"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2012.2186121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061697937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2012.2188784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061697957"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2014.2305909", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061698280"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2014.2306392", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061698286"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2015.2419452", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061698452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmm.2015.2440997", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061698484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tpami.2008.79", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061743675"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tpami.2013.145", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061744459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iccv.2011.6126415", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093226224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/cvpr.2013.462", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093289883"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/cvpr.2013.462", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093289883"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iccv.2015.12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093359952"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iccv.2009.5459197", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093361768"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iccv.2007.4409012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093419161"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icdm.2008.47", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093446545"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/cvpr.2004.1315253", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093697819"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/cvpr.2011.5995566", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093814890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icassp.2009.4959999", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094419800"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/afgr.2008.4813463", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094556306"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/fg.2015.7163083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094735660"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/afgr.2008.4813381", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095083975"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/cvpr.2017.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095851665"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5244/c.20.92", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099325911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iccv.2017.524", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100060531"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-02", 
        "datePublishedReg": "2019-02-01", 
        "description": "This paper describes methods for automatically associating faces detected from multimedia documents with their names presented in the surrounding metadata. We consider the task in the image matching (IM) framework, where external Web facial images are automatically retrieved as the gallery face set of the names in advance, and a detected face is assigned to one of the names, or none of them, according to the association score between the two kinds of faces and constraints. Several important issues are investigated within the IM framework. In collecting Web facial images, beyond the basic scheme that use a celebrity name purely as the query to crawl facial images, a context-assisted image search method is proposed to enhance the relevance and discriminability of the retrieved faces. In constraint formulation, we propose an assigning-thresholding (AT) pipeline to uniformly ensure that the name-face correspondence is strictly one-to-one, and set low confidence associations as null assignments. In association score computation, we propose methods that jointly consider IM with the well-established graph-based association (GA) method at different stages, aiming at producing more accurate scores to benefit the association. Based on these efforts, an Accu-IM method performing the association as accurate as possible and a Fast-IM method performing the association in real-time are respective proposed. Extensive experiments on datasets of captioned News images and Web videos both demonstrate the advantages of the proposed efforts individually and jointly, which consistently provide improvement gains under different settings when compared with state-of-the-art methods.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00530-017-0544-y", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7201554", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7176731", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1284647", 
            "issn": [
              "0942-4962", 
              "1432-1882"
            ], 
            "name": "Multimedia Systems", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "25"
          }
        ], 
        "name": "Name-face association with web facial image supervision", 
        "pagination": "1-20", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d19ca031eb85c6afa1ab4bd03d2b81c714d09595e695c84423a409b43ff77bcf"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00530-017-0544-y"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1084022569"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00530-017-0544-y", 
          "https://app.dimensions.ai/details/publication/pub.1084022569"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:41", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000346_0000000346/records_99841_00000003.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00530-017-0544-y"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00530-017-0544-y'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00530-017-0544-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00530-017-0544-y'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00530-017-0544-y'


     

    This table displays all metadata directly associated to this object as RDF triples.

    290 TRIPLES      21 PREDICATES      89 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00530-017-0544-y schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author Nf6a1de744e064ca1bfc07b9903db0dc4
    4 schema:citation sg:pub.10.1007/978-3-319-04114-8_6
    5 sg:pub.10.1007/978-3-319-48896-7_62
    6 sg:pub.10.1007/s11042-010-0604-1
    7 sg:pub.10.1007/s11263-011-0447-x
    8 sg:pub.10.1007/s11390-014-1468-z
    9 https://doi.org/10.1016/j.jvcir.2013.04.012
    10 https://doi.org/10.1016/j.jvcir.2013.06.009
    11 https://doi.org/10.1016/j.patcog.2009.10.015
    12 https://doi.org/10.1016/j.patcog.2011.12.018
    13 https://doi.org/10.1109/93.752960
    14 https://doi.org/10.1109/afgr.2008.4813381
    15 https://doi.org/10.1109/afgr.2008.4813463
    16 https://doi.org/10.1109/cvpr.2004.1315253
    17 https://doi.org/10.1109/cvpr.2011.5995566
    18 https://doi.org/10.1109/cvpr.2013.462
    19 https://doi.org/10.1109/cvpr.2017.111
    20 https://doi.org/10.1109/fg.2015.7163083
    21 https://doi.org/10.1109/icassp.2009.4959999
    22 https://doi.org/10.1109/iccv.2007.4409012
    23 https://doi.org/10.1109/iccv.2009.5459197
    24 https://doi.org/10.1109/iccv.2011.6126415
    25 https://doi.org/10.1109/iccv.2015.12
    26 https://doi.org/10.1109/iccv.2017.524
    27 https://doi.org/10.1109/icdm.2008.47
    28 https://doi.org/10.1109/jproc.2010.2044551
    29 https://doi.org/10.1109/mmul.2011.22
    30 https://doi.org/10.1109/tcsvt.2011.2148470
    31 https://doi.org/10.1109/tcsvt.2014.2319671
    32 https://doi.org/10.1109/tcsvt.2015.2504738
    33 https://doi.org/10.1109/tie.2012.2216237
    34 https://doi.org/10.1109/tip.2012.2236341
    35 https://doi.org/10.1109/tip.2016.2590321
    36 https://doi.org/10.1109/tip.2016.2601491
    37 https://doi.org/10.1109/tmm.2009.2030629
    38 https://doi.org/10.1109/tmm.2009.2036232
    39 https://doi.org/10.1109/tmm.2010.2050651
    40 https://doi.org/10.1109/tmm.2011.2165053
    41 https://doi.org/10.1109/tmm.2011.2167224
    42 https://doi.org/10.1109/tmm.2012.2186121
    43 https://doi.org/10.1109/tmm.2012.2188784
    44 https://doi.org/10.1109/tmm.2014.2305909
    45 https://doi.org/10.1109/tmm.2014.2306392
    46 https://doi.org/10.1109/tmm.2015.2419452
    47 https://doi.org/10.1109/tmm.2015.2440997
    48 https://doi.org/10.1109/tpami.2008.79
    49 https://doi.org/10.1109/tpami.2013.145
    50 https://doi.org/10.1145/1027527.1027666
    51 https://doi.org/10.1145/1101149.1101155
    52 https://doi.org/10.1145/1459359.1459468
    53 https://doi.org/10.1145/1873951.1874162
    54 https://doi.org/10.1145/1991996.1992038
    55 https://doi.org/10.1145/2009916.2009989
    56 https://doi.org/10.1145/2072298.2071909
    57 https://doi.org/10.1145/2072298.2072021
    58 https://doi.org/10.1145/2393347.2393383
    59 https://doi.org/10.1145/2461466.2461477
    60 https://doi.org/10.1145/2488388.2488515
    61 https://doi.org/10.1145/2600428.2609568
    62 https://doi.org/10.1145/2647868.2654942
    63 https://doi.org/10.1145/2671188.2749401
    64 https://doi.org/10.1145/954339.954342
    65 https://doi.org/10.5244/c.20.92
    66 schema:datePublished 2019-02
    67 schema:datePublishedReg 2019-02-01
    68 schema:description This paper describes methods for automatically associating faces detected from multimedia documents with their names presented in the surrounding metadata. We consider the task in the image matching (IM) framework, where external Web facial images are automatically retrieved as the gallery face set of the names in advance, and a detected face is assigned to one of the names, or none of them, according to the association score between the two kinds of faces and constraints. Several important issues are investigated within the IM framework. In collecting Web facial images, beyond the basic scheme that use a celebrity name purely as the query to crawl facial images, a context-assisted image search method is proposed to enhance the relevance and discriminability of the retrieved faces. In constraint formulation, we propose an assigning-thresholding (AT) pipeline to uniformly ensure that the name-face correspondence is strictly one-to-one, and set low confidence associations as null assignments. In association score computation, we propose methods that jointly consider IM with the well-established graph-based association (GA) method at different stages, aiming at producing more accurate scores to benefit the association. Based on these efforts, an Accu-IM method performing the association as accurate as possible and a Fast-IM method performing the association in real-time are respective proposed. Extensive experiments on datasets of captioned News images and Web videos both demonstrate the advantages of the proposed efforts individually and jointly, which consistently provide improvement gains under different settings when compared with state-of-the-art methods.
    69 schema:genre research_article
    70 schema:inLanguage en
    71 schema:isAccessibleForFree false
    72 schema:isPartOf N7079fee04f0f47cbb4188b8f105a7e98
    73 Nc71e909097044bc0b564f4817b68ce1e
    74 sg:journal.1284647
    75 schema:name Name-face association with web facial image supervision
    76 schema:pagination 1-20
    77 schema:productId N36c0449ffc60434983141caf8d0644d3
    78 N874840bffe6942c988e1a540676d9c08
    79 Nb9485102dc5848308ea1ce1f964f12c5
    80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084022569
    81 https://doi.org/10.1007/s00530-017-0544-y
    82 schema:sdDatePublished 2019-04-11T09:41
    83 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    84 schema:sdPublisher Ne38905acc2c44b4e954fd92c8c9f050f
    85 schema:url https://link.springer.com/10.1007%2Fs00530-017-0544-y
    86 sgo:license sg:explorer/license/
    87 sgo:sdDataset articles
    88 rdf:type schema:ScholarlyArticle
    89 N2e74f53b293548ebaf96454275a13166 rdf:first sg:person.013471271203.97
    90 rdf:rest rdf:nil
    91 N32fa92abd0484012a85abb0739902d84 rdf:first sg:person.013416520456.02
    92 rdf:rest N2e74f53b293548ebaf96454275a13166
    93 N35b50052d9a74e46b2f8fd54370e4a6a rdf:first sg:person.011075166225.46
    94 rdf:rest N7bedfeb28b68441185cad6f2e607ed3c
    95 N36c0449ffc60434983141caf8d0644d3 schema:name dimensions_id
    96 schema:value pub.1084022569
    97 rdf:type schema:PropertyValue
    98 N7079fee04f0f47cbb4188b8f105a7e98 schema:issueNumber 1
    99 rdf:type schema:PublicationIssue
    100 N7bedfeb28b68441185cad6f2e607ed3c rdf:first sg:person.010010301573.93
    101 rdf:rest N32fa92abd0484012a85abb0739902d84
    102 N874840bffe6942c988e1a540676d9c08 schema:name doi
    103 schema:value 10.1007/s00530-017-0544-y
    104 rdf:type schema:PropertyValue
    105 Nb9485102dc5848308ea1ce1f964f12c5 schema:name readcube_id
    106 schema:value d19ca031eb85c6afa1ab4bd03d2b81c714d09595e695c84423a409b43ff77bcf
    107 rdf:type schema:PropertyValue
    108 Nc71e909097044bc0b564f4817b68ce1e schema:volumeNumber 25
    109 rdf:type schema:PublicationVolume
    110 Ne38905acc2c44b4e954fd92c8c9f050f schema:name Springer Nature - SN SciGraph project
    111 rdf:type schema:Organization
    112 Nf6a1de744e064ca1bfc07b9903db0dc4 rdf:first sg:person.012273373467.30
    113 rdf:rest N35b50052d9a74e46b2f8fd54370e4a6a
    114 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    115 schema:name Information and Computing Sciences
    116 rdf:type schema:DefinedTerm
    117 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    118 schema:name Artificial Intelligence and Image Processing
    119 rdf:type schema:DefinedTerm
    120 sg:grant.7176731 http://pending.schema.org/fundedItem sg:pub.10.1007/s00530-017-0544-y
    121 rdf:type schema:MonetaryGrant
    122 sg:grant.7201554 http://pending.schema.org/fundedItem sg:pub.10.1007/s00530-017-0544-y
    123 rdf:type schema:MonetaryGrant
    124 sg:journal.1284647 schema:issn 0942-4962
    125 1432-1882
    126 schema:name Multimedia Systems
    127 rdf:type schema:Periodical
    128 sg:person.010010301573.93 schema:affiliation https://www.grid.ac/institutes/grid.411431.2
    129 schema:familyName Deng
    130 schema:givenName Bin
    131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010010301573.93
    132 rdf:type schema:Person
    133 sg:person.011075166225.46 schema:affiliation https://www.grid.ac/institutes/grid.458480.5
    134 schema:familyName Zhang
    135 schema:givenName Wei
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011075166225.46
    137 rdf:type schema:Person
    138 sg:person.012273373467.30 schema:affiliation https://www.grid.ac/institutes/grid.429126.a
    139 schema:familyName Chen
    140 schema:givenName Zhineng
    141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012273373467.30
    142 rdf:type schema:Person
    143 sg:person.013416520456.02 schema:affiliation https://www.grid.ac/institutes/grid.458480.5
    144 schema:familyName Xie
    145 schema:givenName Hongtao
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013416520456.02
    147 rdf:type schema:Person
    148 sg:person.013471271203.97 schema:affiliation https://www.grid.ac/institutes/grid.458480.5
    149 schema:familyName Gu
    150 schema:givenName Xiaoyan
    151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013471271203.97
    152 rdf:type schema:Person
    153 sg:pub.10.1007/978-3-319-04114-8_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001243168
    154 https://doi.org/10.1007/978-3-319-04114-8_6
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/978-3-319-48896-7_62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043016895
    157 https://doi.org/10.1007/978-3-319-48896-7_62
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s11042-010-0604-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045673257
    160 https://doi.org/10.1007/s11042-010-0604-1
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s11263-011-0447-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003839794
    163 https://doi.org/10.1007/s11263-011-0447-x
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s11390-014-1468-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1020853577
    166 https://doi.org/10.1007/s11390-014-1468-z
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1016/j.jvcir.2013.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039974890
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1016/j.jvcir.2013.06.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047336599
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1016/j.patcog.2009.10.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012125792
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1016/j.patcog.2011.12.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032116297
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1109/93.752960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061248890
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1109/afgr.2008.4813381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095083975
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1109/afgr.2008.4813463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094556306
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.1109/cvpr.2004.1315253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093697819
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.1109/cvpr.2011.5995566 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093814890
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.1109/cvpr.2013.462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093289883
    187 rdf:type schema:CreativeWork
    188 https://doi.org/10.1109/cvpr.2017.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095851665
    189 rdf:type schema:CreativeWork
    190 https://doi.org/10.1109/fg.2015.7163083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094735660
    191 rdf:type schema:CreativeWork
    192 https://doi.org/10.1109/icassp.2009.4959999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094419800
    193 rdf:type schema:CreativeWork
    194 https://doi.org/10.1109/iccv.2007.4409012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093419161
    195 rdf:type schema:CreativeWork
    196 https://doi.org/10.1109/iccv.2009.5459197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093361768
    197 rdf:type schema:CreativeWork
    198 https://doi.org/10.1109/iccv.2011.6126415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093226224
    199 rdf:type schema:CreativeWork
    200 https://doi.org/10.1109/iccv.2015.12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093359952
    201 rdf:type schema:CreativeWork
    202 https://doi.org/10.1109/iccv.2017.524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100060531
    203 rdf:type schema:CreativeWork
    204 https://doi.org/10.1109/icdm.2008.47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093446545
    205 rdf:type schema:CreativeWork
    206 https://doi.org/10.1109/jproc.2010.2044551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061297237
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1109/mmul.2011.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061410255
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1109/tcsvt.2011.2148470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061575798
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1109/tcsvt.2014.2319671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061576315
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1109/tcsvt.2015.2504738 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061576664
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1109/tie.2012.2216237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061625777
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1109/tip.2012.2236341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061643453
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1109/tip.2016.2590321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061645118
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1109/tip.2016.2601491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061645175
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1109/tmm.2009.2030629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697674
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1109/tmm.2009.2036232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697694
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1109/tmm.2010.2050651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697725
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1109/tmm.2011.2165053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697866
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1109/tmm.2011.2167224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697878
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1109/tmm.2012.2186121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697937
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1109/tmm.2012.2188784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697957
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1109/tmm.2014.2305909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061698280
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1109/tmm.2014.2306392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061698286
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1109/tmm.2015.2419452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061698452
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1109/tmm.2015.2440997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061698484
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1109/tpami.2008.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061743675
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1109/tpami.2013.145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061744459
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1145/1027527.1027666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008627092
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1145/1101149.1101155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041022634
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1145/1459359.1459468 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027779072
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1145/1873951.1874162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044931210
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1145/1991996.1992038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018451511
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1145/2009916.2009989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014918028
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1145/2072298.2071909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004907968
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1145/2072298.2072021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010863565
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1145/2393347.2393383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037167092
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1145/2461466.2461477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044261422
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1145/2488388.2488515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017435325
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1145/2600428.2609568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022304122
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1145/2647868.2654942 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037093687
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1145/2671188.2749401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028529103
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1145/954339.954342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024296753
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.5244/c.20.92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099325911
    281 rdf:type schema:CreativeWork
    282 https://www.grid.ac/institutes/grid.411431.2 schema:alternateName Hunan University of Technology
    283 schema:name School of Computer Science, Hunan University of Technology, 412007, Hunan, China
    284 rdf:type schema:Organization
    285 https://www.grid.ac/institutes/grid.429126.a schema:alternateName Institute of Automation
    286 schema:name Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
    287 rdf:type schema:Organization
    288 https://www.grid.ac/institutes/grid.458480.5 schema:alternateName Institute of Information Engineering
    289 schema:name Institute of Information Engineering, Chinese Academy of Sciences, 100093, Beijing, China
    290 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...