Color Texture Classification Using Rao Distance between Multivariate Copula Based Models View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Ahmed Drissi El Maliani , Mohammed El Hassouni , Nour-Eddine Lasmar , Yannick Berthoumieu , Driss Aboutajdine

ABSTRACT

This paper presents a new similarity measure based on Rao distance for color texture classification or retrieval. Textures are characterized by a joint model of complex wavelet coefficients. This model is based on a Gaussian Copula in order to consider the dependency between color components. Then, a closed form of Rao distance is computed to measure the difference between two Gaussian Copula based probabilty density functions on the corresponding manifold. Results in term of classification rates, show the effectiveness of the Rao geodesic distance when applied on the manifold of Gaussian Copula based probability distributions, in comparison with the Kullback-Leibler divergence. More... »

PAGES

498-505

References to SciGraph publications

  • 2004-12. Modified Kernel Functions by Geodesic Distance in APPLIED SIGNAL PROCESSING
  • Book

    TITLE

    Computer Analysis of Images and Patterns

    ISBN

    978-3-642-23677-8
    978-3-642-23678-5

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-23678-5_59

    DOI

    http://dx.doi.org/10.1007/978-3-642-23678-5_59

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016825543


    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": "Mohammed V University", 
              "id": "https://www.grid.ac/institutes/grid.31143.34", 
              "name": [
                "LRIT, URAC 29, Mohammed V University, Agdal, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Maliani", 
            "givenName": "Ahmed Drissi El", 
            "id": "sg:person.013676545031.63", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013676545031.63"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Mohammed V University", 
              "id": "https://www.grid.ac/institutes/grid.31143.34", 
              "name": [
                "DESTEC, FLSHR, Mohammed V University, Agdal, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hassouni", 
            "givenName": "Mohammed El", 
            "id": "sg:person.016676771760.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016676771760.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Bordeaux", 
              "id": "https://www.grid.ac/institutes/grid.412041.2", 
              "name": [
                "IMS- Groupe Signal- UMR 5218 CNRS, ENSEIRB, University Bordeaux, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lasmar", 
            "givenName": "Nour-Eddine", 
            "id": "sg:person.010165236731.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010165236731.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Bordeaux", 
              "id": "https://www.grid.ac/institutes/grid.412041.2", 
              "name": [
                "IMS- Groupe Signal- UMR 5218 CNRS, ENSEIRB, University Bordeaux, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Berthoumieu", 
            "givenName": "Yannick", 
            "id": "sg:person.010636166221.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010636166221.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Mohammed V University", 
              "id": "https://www.grid.ac/institutes/grid.31143.34", 
              "name": [
                "LRIT, URAC 29, Mohammed V University, Agdal, Morocco"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Aboutajdine", 
            "givenName": "Driss", 
            "id": "sg:person.014641674655.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014641674655.23"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0377-0427(03)00387-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045091317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0377-0427(03)00387-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045091317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.dsp.2004.12.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045448810"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/83.753747", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061239903"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/83.982822", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061240430"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1155/s111086570440314x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063208021", 
              "https://doi.org/10.1155/s111086570440314x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icip.2009.5413656", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093368439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icip.2008.4711718", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094255688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1201/b13150", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109727365"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011", 
        "datePublishedReg": "2011-01-01", 
        "description": "This paper presents a new similarity measure based on Rao distance for color texture classification or retrieval. Textures are characterized by a joint model of complex wavelet coefficients. This model is based on a Gaussian Copula in order to consider the dependency between color components. Then, a closed form of Rao distance is computed to measure the difference between two Gaussian Copula based probabilty density functions on the corresponding manifold. Results in term of classification rates, show the effectiveness of the Rao geodesic distance when applied on the manifold of Gaussian Copula based probability distributions, in comparison with the Kullback-Leibler divergence.", 
        "editor": [
          {
            "familyName": "Real", 
            "givenName": "Pedro", 
            "type": "Person"
          }, 
          {
            "familyName": "Diaz-Pernil", 
            "givenName": "Daniel", 
            "type": "Person"
          }, 
          {
            "familyName": "Molina-Abril", 
            "givenName": "Helena", 
            "type": "Person"
          }, 
          {
            "familyName": "Berciano", 
            "givenName": "Ainhoa", 
            "type": "Person"
          }, 
          {
            "familyName": "Kropatsch", 
            "givenName": "Walter", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-23678-5_59", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-23677-8", 
            "978-3-642-23678-5"
          ], 
          "name": "Computer Analysis of Images and Patterns", 
          "type": "Book"
        }, 
        "name": "Color Texture Classification Using Rao Distance between Multivariate Copula Based Models", 
        "pagination": "498-505", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1016825543"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-23678-5_59"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "502aefc8982d326b4db8f9f54c46ca84fb1b85250a06ef7deb64545405381c69"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-23678-5_59", 
          "https://app.dimensions.ai/details/publication/pub.1016825543"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T09:07", 
        "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/v90/0000000370_0000000370/records_46779_00000000.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F978-3-642-23678-5_59"
      }
    ]
     

    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.10.1007/978-3-642-23678-5_59'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23678-5_59'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23678-5_59'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-23678-5_59'


     

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

    142 TRIPLES      23 PREDICATES      35 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-23678-5_59 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N8b76a48983684c348f86ad9f5f455c04
    4 schema:citation sg:pub.10.1155/s111086570440314x
    5 https://doi.org/10.1016/j.dsp.2004.12.002
    6 https://doi.org/10.1016/s0377-0427(03)00387-x
    7 https://doi.org/10.1109/83.753747
    8 https://doi.org/10.1109/83.982822
    9 https://doi.org/10.1109/icip.2008.4711718
    10 https://doi.org/10.1109/icip.2009.5413656
    11 https://doi.org/10.1201/b13150
    12 schema:datePublished 2011
    13 schema:datePublishedReg 2011-01-01
    14 schema:description This paper presents a new similarity measure based on Rao distance for color texture classification or retrieval. Textures are characterized by a joint model of complex wavelet coefficients. This model is based on a Gaussian Copula in order to consider the dependency between color components. Then, a closed form of Rao distance is computed to measure the difference between two Gaussian Copula based probabilty density functions on the corresponding manifold. Results in term of classification rates, show the effectiveness of the Rao geodesic distance when applied on the manifold of Gaussian Copula based probability distributions, in comparison with the Kullback-Leibler divergence.
    15 schema:editor Nca2cfaa6ae744f7badc9c7565bf9e566
    16 schema:genre chapter
    17 schema:inLanguage en
    18 schema:isAccessibleForFree false
    19 schema:isPartOf N61d43ffb5afd486296c725d50c2e5148
    20 schema:name Color Texture Classification Using Rao Distance between Multivariate Copula Based Models
    21 schema:pagination 498-505
    22 schema:productId N1b9272ed88d6409da2e9c3ab0afd6e90
    23 N508fd7a1b41f47fea6613057c76ef7c1
    24 Ndc7f9056017a4f5f8eebb19feb06d373
    25 schema:publisher N1d3dda120b9b4cc3a6fb4d8bb5b002c9
    26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016825543
    27 https://doi.org/10.1007/978-3-642-23678-5_59
    28 schema:sdDatePublished 2019-04-16T09:07
    29 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    30 schema:sdPublisher Nc7f7761f1752463ea0ed0c854b2eacb7
    31 schema:url https://link.springer.com/10.1007%2F978-3-642-23678-5_59
    32 sgo:license sg:explorer/license/
    33 sgo:sdDataset chapters
    34 rdf:type schema:Chapter
    35 N05bd11b4ff6e48379760b1e8a1868339 rdf:first Na384699ef2d04491a22a3c487350a7a9
    36 rdf:rest N45adbf4e23774afe9f9ff8526655d1ac
    37 N1b9272ed88d6409da2e9c3ab0afd6e90 schema:name dimensions_id
    38 schema:value pub.1016825543
    39 rdf:type schema:PropertyValue
    40 N1d3dda120b9b4cc3a6fb4d8bb5b002c9 schema:location Berlin, Heidelberg
    41 schema:name Springer Berlin Heidelberg
    42 rdf:type schema:Organisation
    43 N1e390d53e87d419ebf7d7d5138bab93e schema:familyName Real
    44 schema:givenName Pedro
    45 rdf:type schema:Person
    46 N3c478030910a492c9a18d40ea584d356 schema:familyName Berciano
    47 schema:givenName Ainhoa
    48 rdf:type schema:Person
    49 N45adbf4e23774afe9f9ff8526655d1ac rdf:first N3c478030910a492c9a18d40ea584d356
    50 rdf:rest Nec50190705b7486281b5835e99bc1ff7
    51 N508fd7a1b41f47fea6613057c76ef7c1 schema:name readcube_id
    52 schema:value 502aefc8982d326b4db8f9f54c46ca84fb1b85250a06ef7deb64545405381c69
    53 rdf:type schema:PropertyValue
    54 N61d43ffb5afd486296c725d50c2e5148 schema:isbn 978-3-642-23677-8
    55 978-3-642-23678-5
    56 schema:name Computer Analysis of Images and Patterns
    57 rdf:type schema:Book
    58 N734fb8e81db94816b2219b9373bc8ae8 schema:familyName Kropatsch
    59 schema:givenName Walter
    60 rdf:type schema:Person
    61 N7d7f346db5dd4f8eb282758099a94447 schema:familyName Diaz-Pernil
    62 schema:givenName Daniel
    63 rdf:type schema:Person
    64 N85db03e312ee4b3894032af3cf97a09d rdf:first sg:person.014641674655.23
    65 rdf:rest rdf:nil
    66 N8b76a48983684c348f86ad9f5f455c04 rdf:first sg:person.013676545031.63
    67 rdf:rest Nd7ef3cebc71243109256105703942a5b
    68 Na384699ef2d04491a22a3c487350a7a9 schema:familyName Molina-Abril
    69 schema:givenName Helena
    70 rdf:type schema:Person
    71 Na84e463b84964204bbe887c82bbe042b rdf:first N7d7f346db5dd4f8eb282758099a94447
    72 rdf:rest N05bd11b4ff6e48379760b1e8a1868339
    73 Nc05910581db943d09be4f66f8e943cef rdf:first sg:person.010165236731.12
    74 rdf:rest Ne46792c6bbf84c96afed49ee8e7c1fb5
    75 Nc7f7761f1752463ea0ed0c854b2eacb7 schema:name Springer Nature - SN SciGraph project
    76 rdf:type schema:Organization
    77 Nca2cfaa6ae744f7badc9c7565bf9e566 rdf:first N1e390d53e87d419ebf7d7d5138bab93e
    78 rdf:rest Na84e463b84964204bbe887c82bbe042b
    79 Nd7ef3cebc71243109256105703942a5b rdf:first sg:person.016676771760.64
    80 rdf:rest Nc05910581db943d09be4f66f8e943cef
    81 Ndc7f9056017a4f5f8eebb19feb06d373 schema:name doi
    82 schema:value 10.1007/978-3-642-23678-5_59
    83 rdf:type schema:PropertyValue
    84 Ne46792c6bbf84c96afed49ee8e7c1fb5 rdf:first sg:person.010636166221.26
    85 rdf:rest N85db03e312ee4b3894032af3cf97a09d
    86 Nec50190705b7486281b5835e99bc1ff7 rdf:first N734fb8e81db94816b2219b9373bc8ae8
    87 rdf:rest rdf:nil
    88 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    89 schema:name Information and Computing Sciences
    90 rdf:type schema:DefinedTerm
    91 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    92 schema:name Artificial Intelligence and Image Processing
    93 rdf:type schema:DefinedTerm
    94 sg:person.010165236731.12 schema:affiliation https://www.grid.ac/institutes/grid.412041.2
    95 schema:familyName Lasmar
    96 schema:givenName Nour-Eddine
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010165236731.12
    98 rdf:type schema:Person
    99 sg:person.010636166221.26 schema:affiliation https://www.grid.ac/institutes/grid.412041.2
    100 schema:familyName Berthoumieu
    101 schema:givenName Yannick
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010636166221.26
    103 rdf:type schema:Person
    104 sg:person.013676545031.63 schema:affiliation https://www.grid.ac/institutes/grid.31143.34
    105 schema:familyName Maliani
    106 schema:givenName Ahmed Drissi El
    107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013676545031.63
    108 rdf:type schema:Person
    109 sg:person.014641674655.23 schema:affiliation https://www.grid.ac/institutes/grid.31143.34
    110 schema:familyName Aboutajdine
    111 schema:givenName Driss
    112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014641674655.23
    113 rdf:type schema:Person
    114 sg:person.016676771760.64 schema:affiliation https://www.grid.ac/institutes/grid.31143.34
    115 schema:familyName Hassouni
    116 schema:givenName Mohammed El
    117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016676771760.64
    118 rdf:type schema:Person
    119 sg:pub.10.1155/s111086570440314x schema:sameAs https://app.dimensions.ai/details/publication/pub.1063208021
    120 https://doi.org/10.1155/s111086570440314x
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1016/j.dsp.2004.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045448810
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1016/s0377-0427(03)00387-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045091317
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1109/83.753747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061239903
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1109/83.982822 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061240430
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1109/icip.2008.4711718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094255688
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1109/icip.2009.5413656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093368439
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1201/b13150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109727365
    135 rdf:type schema:CreativeWork
    136 https://www.grid.ac/institutes/grid.31143.34 schema:alternateName Mohammed V University
    137 schema:name DESTEC, FLSHR, Mohammed V University, Agdal, Morocco
    138 LRIT, URAC 29, Mohammed V University, Agdal, Morocco
    139 rdf:type schema:Organization
    140 https://www.grid.ac/institutes/grid.412041.2 schema:alternateName University of Bordeaux
    141 schema:name IMS- Groupe Signal- UMR 5218 CNRS, ENSEIRB, University Bordeaux, France
    142 rdf:type schema:Organization
     




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


    ...