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

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 Nad05717ce1c9444b9d7c022adefde522
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 N02a2fad944df4ef5ab826f9ee9366d60
73 N27528fd1f75f40d0a754c2f587893bc4
74 sg:journal.1284647
75 schema:name Name-face association with web facial image supervision
76 schema:pagination 1-20
77 schema:productId N33167cd1045b49b4a124ea88bbd3329c
78 N380ca03ac68b4a5e9473b7326c541909
79 N464f4ebb8d194f1caf76d203bc1ef393
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 N8052fde8227043eab2d7cc060a8de1e1
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 N02a2fad944df4ef5ab826f9ee9366d60 schema:volumeNumber 25
90 rdf:type schema:PublicationVolume
91 N27528fd1f75f40d0a754c2f587893bc4 schema:issueNumber 1
92 rdf:type schema:PublicationIssue
93 N32bf0416bf7b4a01a2580dfc9ac35c9e rdf:first sg:person.011075166225.46
94 rdf:rest N552a7f535457446b8c9661e5f0b3e151
95 N33167cd1045b49b4a124ea88bbd3329c schema:name doi
96 schema:value 10.1007/s00530-017-0544-y
97 rdf:type schema:PropertyValue
98 N380ca03ac68b4a5e9473b7326c541909 schema:name readcube_id
99 schema:value d19ca031eb85c6afa1ab4bd03d2b81c714d09595e695c84423a409b43ff77bcf
100 rdf:type schema:PropertyValue
101 N464f4ebb8d194f1caf76d203bc1ef393 schema:name dimensions_id
102 schema:value pub.1084022569
103 rdf:type schema:PropertyValue
104 N552a7f535457446b8c9661e5f0b3e151 rdf:first sg:person.010010301573.93
105 rdf:rest N5c8aad0faefd4ad08902c82b7c0bdb6b
106 N5c8aad0faefd4ad08902c82b7c0bdb6b rdf:first sg:person.013416520456.02
107 rdf:rest Nf2bec9820a0740f191f7a4b2b8f3bf73
108 N8052fde8227043eab2d7cc060a8de1e1 schema:name Springer Nature - SN SciGraph project
109 rdf:type schema:Organization
110 Nad05717ce1c9444b9d7c022adefde522 rdf:first sg:person.012273373467.30
111 rdf:rest N32bf0416bf7b4a01a2580dfc9ac35c9e
112 Nf2bec9820a0740f191f7a4b2b8f3bf73 rdf:first sg:person.013471271203.97
113 rdf:rest rdf:nil
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)


...