International Journal of Computer Vision View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1987

PUBLISHER

Springer US

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/11263

Recent publications latest 20 shown

  • 2019-05 Locality Preserving Matching
  • 2019-05 Understanding Image Representations by Measuring Their Equivariance and Equivalence
  • 2019-05 Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
  • 2019-05 Kernel Cuts: Kernel and Spectral Clustering Meet Regularization
  • 2019-05 Robust and Optimal Registration of Image Sets and Structured Scenes via Sum-of-Squares Polynomials
  • 2019-04 Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
  • 2019-04 Superpixel-Guided Two-View Deterministic Geometric Model Fitting
  • 2019-04 Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework
  • 2019-04-01 Face-Specific Data Augmentation for Unconstrained Face Recognition
  • 2019-04 Second-order Temporal Pooling for Action Recognition
  • 2019-04 Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation
  • 2019-03-27 Deep Learning Approach in Aerial Imagery for Supporting Land Search and Rescue Missions
  • 2019-03-23 Which and How Many Regions to Gaze: Focus Discriminative Regions for Fine-Grained Visual Categorization
  • 2019-03-22 Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
  • 2019-03-22 Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition
  • 2019-03-16 Deep Supervised Hashing for Fast Image Retrieval
  • 2019-03-16 Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch
  • 2019-03-15 Lucid Data Dreaming for Video Object Segmentation
  • 2019-03-14 The Devil is in the Decoder: Classification, Regression and GANs
  • 2019-03-13 Identity-Preserving Face Recovery from Stylized Portraits
  • 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://scigraph.springernature.com/ontologies/product-market-codes/I22005", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Computer Imaging, Vision, Pattern Recognition and Graphics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I21000", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Artificial Intelligence", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I22021", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Image Processing and Computer Vision", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I2203X", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Pattern Recognition", 
            "type": "DefinedTerm"
          }
        ], 
        "contentRating": [
          {
            "author": "snip", 
            "ratingValue": "6.229", 
            "type": "Rating"
          }, 
          {
            "author": "sjr", 
            "ratingValue": "2.301", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2017", 
            "ratingValue": "11.541", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2016", 
            "ratingValue": "8.222", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2015", 
            "ratingValue": "4.270", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2014", 
            "ratingValue": "3.810", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2013", 
            "ratingValue": "3.533", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2009", 
            "ratingValue": "3.508", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2012", 
            "ratingValue": "3.623", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2011", 
            "ratingValue": "3.741", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2010", 
            "ratingValue": "5.151", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2009", 
            "ratingValue": "3.508", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2008", 
            "ratingValue": "5.358", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2007", 
            "ratingValue": "3.381", 
            "type": "Rating"
          }
        ], 
        "description": "

    International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.

    Coverage includes:

    - Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.

    - Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more.

    - Connections with human perception: computational and architectural aspects of human vision.

    The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.

    ", "editor": [ { "familyName": "Hebert", "givenName": "Martial", "type": "Person" } ], "id": "sg:journal.1032807", "inLanguage": [ "en" ], "isAccessibleForFree": false, "issn": [ "0920-5691", "1573-1405" ], "license": "Hybrid (Open Choice)", "name": "International Journal of Computer Vision", "productId": [ { "name": "scopus_id", "type": "PropertyValue", "value": [ "72242" ] }, { "name": "wos_id", "type": "PropertyValue", "value": [ "0920-5691/INTERNATIONAL JOURNAL OF COMPUTER VISION" ] }, { "name": "nlm_unique_id", "type": "PropertyValue", "value": [ "101189508" ] }, { "name": "nsd_ids_id", "type": "PropertyValue", "value": [ "441802" ] }, { "name": "springer_id", "type": "PropertyValue", "value": [ "11263" ] }, { "name": "lccn_id", "type": "PropertyValue", "value": [ "89656249" ] }, { "name": "dimensions_id", "type": "PropertyValue", "value": [ "32807" ] }, { "name": "era_ids_id", "type": "PropertyValue", "value": [ "17929" ] } ], "publisher": { "name": "Springer US", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1032807" ], "sdDataset": "journals", "sdDatePublished": "2019-03-18T11:05", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "file:///home/ubuntu/piotr/scigraph_export/journals_20190313_sn_only.jsonl", "startYear": "1987", "type": "Periodical", "url": "http://link.springer.com/journal/11263" } ]
     

    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/journal.1032807'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1032807'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1032807'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1032807'


     

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

    172 TRIPLES      21 PREDICATES      46 URIs      38 LITERALS      25 BLANK NODES

    Subject Predicate Object
    1 sg:journal.1032807 schema:about sg:ontologies/product-market-codes/I21000
    2 sg:ontologies/product-market-codes/I22005
    3 sg:ontologies/product-market-codes/I22021
    4 sg:ontologies/product-market-codes/I2203X
    5 schema:contentRating N0e141fecaa0c4ef48d2c0a8e1d81767c
    6 N3ff741accd1a483d87555939bfc31cd7
    7 N510fa20f9993430bab22e8b3d5a843db
    8 N57e9b2fbff594f6a894735e77f009b30
    9 N5cceaeb3249d485587f4786a0c2ef5cb
    10 N5e202aeedd1042e6be939d1e091de100
    11 N798ca47e1d10492eaf68c573f666a702
    12 N8e57f4a1387c460ca527c1ebdc56f6f2
    13 N9601de5a976a4ac7a1724fd174da8fe0
    14 N9a4504ab73554c0d93a36cd544bbbbbd
    15 Nccd37b18e01a4c09b275d5bb46feafdc
    16 Nd5ba8c6b832a4b83a06c8dc095bc9a65
    17 Ned9ff67732ff4ba68b87776b174771e7
    18 Nf024e9db6e7747fcb2cb12602a48677a
    19 schema:description <p>International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics. </p><p>Coverage includes:</p><p>- Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.</p><p>- Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more.</p><p>- Connections with human perception: computational and architectural aspects of human vision.</p><p>The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences, data sets, and software.</p>
    20 schema:editor N28327a0d59314c8983478acceb0df461
    21 schema:inLanguage en
    22 schema:isAccessibleForFree false
    23 schema:issn 0920-5691
    24 1573-1405
    25 schema:license Hybrid (Open Choice)
    26 schema:name International Journal of Computer Vision
    27 schema:productId N4e04d737863442f5a40203cf5ebfb6d5
    28 N5f9ac4c5c3484b3ca6a443cb72706edc
    29 N8d0b716f579248819098252bcdb92e35
    30 Na060a46de0b748f79da4832ba3841de9
    31 Nbb64fc4257d5401aa2c02a510a23291c
    32 Ncd4522c342d54c5fb678f9c798663295
    33 Nd476310b41964f9da9cec469c89b2ca1
    34 Ne1ded1935cb2422aaf9dee12e10f7c2a
    35 schema:publisher Ndb44ab735ef04c469ccbc98ae7c2aac8
    36 schema:publisherImprint Springer
    37 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1032807
    38 schema:sdDatePublished 2019-03-18T11:05
    39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    40 schema:sdPublisher N1c8342f449e0453daf860b760edbab2d
    41 schema:startYear 1987
    42 schema:url http://link.springer.com/journal/11263
    43 sgo:license sg:explorer/license/
    44 sgo:sdDataset journals
    45 rdf:type schema:Periodical
    46 N0e141fecaa0c4ef48d2c0a8e1d81767c schema:author Nbf5474899d1b4616b37ecf9a2e0ab969
    47 schema:dateCreated 2011
    48 schema:ratingValue 3.741
    49 rdf:type schema:Rating
    50 N0eba246e18fd4815aae09692dcef3afe rdf:first impact_factor_wos
    51 rdf:rest rdf:nil
    52 N1c8342f449e0453daf860b760edbab2d schema:name Springer Nature - SN SciGraph project
    53 rdf:type schema:Organization
    54 N1d15fed4b42e4d2c98e6a4f0076bafa4 rdf:first sjr
    55 rdf:rest rdf:nil
    56 N25bf34dd3fbd42c298a0a2ceb887fe91 rdf:first impact_factor_wos
    57 rdf:rest rdf:nil
    58 N28327a0d59314c8983478acceb0df461 rdf:first Nd361e73078a640159784920bbc7b42df
    59 rdf:rest rdf:nil
    60 N3b3d2982f6da4b888ff9a13e64be2539 rdf:first impact_factor_wos
    61 rdf:rest rdf:nil
    62 N3ff741accd1a483d87555939bfc31cd7 schema:author N0eba246e18fd4815aae09692dcef3afe
    63 schema:dateCreated 2010
    64 schema:ratingValue 5.151
    65 rdf:type schema:Rating
    66 N4c9b656727374bafa4882c281a0df387 rdf:first impact_factor_wos
    67 rdf:rest rdf:nil
    68 N4d742030363b4f719780900f00c47c84 rdf:first impact_factor_wos
    69 rdf:rest rdf:nil
    70 N4e04d737863442f5a40203cf5ebfb6d5 schema:name nlm_unique_id
    71 schema:value 101189508
    72 rdf:type schema:PropertyValue
    73 N510fa20f9993430bab22e8b3d5a843db schema:author N535389aeba1f43c39fc7d754110a93b2
    74 schema:dateCreated 2017
    75 schema:ratingValue 11.541
    76 rdf:type schema:Rating
    77 N535389aeba1f43c39fc7d754110a93b2 rdf:first impact_factor_wos
    78 rdf:rest rdf:nil
    79 N57e9b2fbff594f6a894735e77f009b30 schema:author N894ec0cebc6841c39c887261e56c6aed
    80 schema:dateCreated 2007
    81 schema:ratingValue 3.381
    82 rdf:type schema:Rating
    83 N5cceaeb3249d485587f4786a0c2ef5cb schema:author N4d742030363b4f719780900f00c47c84
    84 schema:dateCreated 2009
    85 schema:ratingValue 3.508
    86 rdf:type schema:Rating
    87 N5e202aeedd1042e6be939d1e091de100 schema:author Nc22ece1d82184989a4420f4504556cdf
    88 schema:dateCreated 2009
    89 schema:ratingValue 3.508
    90 rdf:type schema:Rating
    91 N5f9ac4c5c3484b3ca6a443cb72706edc schema:name nsd_ids_id
    92 schema:value 441802
    93 rdf:type schema:PropertyValue
    94 N60a3aa61b6e74488b54b979f7e12dc6f rdf:first impact_factor_wos
    95 rdf:rest rdf:nil
    96 N68de51ed357345fb90ef621980fa95ad rdf:first impact_factor_wos
    97 rdf:rest rdf:nil
    98 N798ca47e1d10492eaf68c573f666a702 schema:author N68de51ed357345fb90ef621980fa95ad
    99 schema:dateCreated 2013
    100 schema:ratingValue 3.533
    101 rdf:type schema:Rating
    102 N7996965e35b541a7bc0adfe4e85a6f55 rdf:first impact_factor_wos
    103 rdf:rest rdf:nil
    104 N894ec0cebc6841c39c887261e56c6aed rdf:first impact_factor_wos
    105 rdf:rest rdf:nil
    106 N8d0b716f579248819098252bcdb92e35 schema:name lccn_id
    107 schema:value 89656249
    108 rdf:type schema:PropertyValue
    109 N8e57f4a1387c460ca527c1ebdc56f6f2 schema:author N4c9b656727374bafa4882c281a0df387
    110 schema:dateCreated 2008
    111 schema:ratingValue 5.358
    112 rdf:type schema:Rating
    113 N9601de5a976a4ac7a1724fd174da8fe0 schema:author Ne9fbda939aa548e0bc7bd41c50dfd617
    114 schema:ratingValue 6.229
    115 rdf:type schema:Rating
    116 N9a4504ab73554c0d93a36cd544bbbbbd schema:author N3b3d2982f6da4b888ff9a13e64be2539
    117 schema:dateCreated 2012
    118 schema:ratingValue 3.623
    119 rdf:type schema:Rating
    120 Na060a46de0b748f79da4832ba3841de9 schema:name wos_id
    121 schema:value 0920-5691/INTERNATIONAL JOURNAL OF COMPUTER VISION
    122 rdf:type schema:PropertyValue
    123 Nbb64fc4257d5401aa2c02a510a23291c schema:name era_ids_id
    124 schema:value 17929
    125 rdf:type schema:PropertyValue
    126 Nbf5474899d1b4616b37ecf9a2e0ab969 rdf:first impact_factor_wos
    127 rdf:rest rdf:nil
    128 Nc22ece1d82184989a4420f4504556cdf rdf:first impact_factor_wos
    129 rdf:rest rdf:nil
    130 Nccd37b18e01a4c09b275d5bb46feafdc schema:author N1d15fed4b42e4d2c98e6a4f0076bafa4
    131 schema:ratingValue 2.301
    132 rdf:type schema:Rating
    133 Ncd4522c342d54c5fb678f9c798663295 schema:name scopus_id
    134 schema:value 72242
    135 rdf:type schema:PropertyValue
    136 Nd361e73078a640159784920bbc7b42df schema:familyName Hebert
    137 schema:givenName Martial
    138 rdf:type schema:Person
    139 Nd476310b41964f9da9cec469c89b2ca1 schema:name dimensions_id
    140 schema:value 32807
    141 rdf:type schema:PropertyValue
    142 Nd5ba8c6b832a4b83a06c8dc095bc9a65 schema:author N25bf34dd3fbd42c298a0a2ceb887fe91
    143 schema:dateCreated 2015
    144 schema:ratingValue 4.270
    145 rdf:type schema:Rating
    146 Ndb44ab735ef04c469ccbc98ae7c2aac8 schema:name Springer US
    147 rdf:type schema:Organization
    148 Ne1ded1935cb2422aaf9dee12e10f7c2a schema:name springer_id
    149 schema:value 11263
    150 rdf:type schema:PropertyValue
    151 Ne9fbda939aa548e0bc7bd41c50dfd617 rdf:first snip
    152 rdf:rest rdf:nil
    153 Ned9ff67732ff4ba68b87776b174771e7 schema:author N7996965e35b541a7bc0adfe4e85a6f55
    154 schema:dateCreated 2014
    155 schema:ratingValue 3.810
    156 rdf:type schema:Rating
    157 Nf024e9db6e7747fcb2cb12602a48677a schema:author N60a3aa61b6e74488b54b979f7e12dc6f
    158 schema:dateCreated 2016
    159 schema:ratingValue 8.222
    160 rdf:type schema:Rating
    161 sg:ontologies/product-market-codes/I21000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    162 schema:name Artificial Intelligence
    163 rdf:type schema:DefinedTerm
    164 sg:ontologies/product-market-codes/I22005 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    165 schema:name Computer Imaging, Vision, Pattern Recognition and Graphics
    166 rdf:type schema:DefinedTerm
    167 sg:ontologies/product-market-codes/I22021 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    168 schema:name Image Processing and Computer Vision
    169 rdf:type schema:DefinedTerm
    170 sg:ontologies/product-market-codes/I2203X schema:inDefinedTermSet sg:ontologies/product-market-codes/
    171 schema:name Pattern Recognition
    172 rdf:type schema:DefinedTerm
     




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


    ...