Eyebrow Movement Analysis over Real-Time Video Sequences for Synthetic Representation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002-12-16

AUTHORS

Ana C. Andrés del Valle , Jean-Luc Dugelay

ABSTRACT

To study eyebrow behavior from video sequences we utilize a new image analysis technique based on an anatomical-mathematical motion model. This technique conceives the eyebrow as a single curved object (arch) that is subject to the deformation due to muscular interactions. The action model defines the simplified 2D (vertical and horizontal) displacements of the arch. Our video analysis algorithm recovers the needed data from the arch representation to deduce the parameters that deformed the proposed model. The present technique is meant to suit real-time requirements and to work under uncontrolled environments: without specific known lighting or special markers on the face, by using only computer vision and image processing methods. More... »

PAGES

213-225

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-36138-3_18

DOI

http://dx.doi.org/10.1007/3-540-36138-3_18

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020535485


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Multimedia Communications Department, Institut Eur\u00e9com, 2229, route des Cr\u00eates, B.P. 193, 06904, Sophia Antipolis, France", 
          "id": "http://www.grid.ac/institutes/grid.28848.3e", 
          "name": [
            "Multimedia Communications Department, Institut Eur\u00e9com, 2229, route des Cr\u00eates, B.P. 193, 06904, Sophia Antipolis, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andr\u00e9s del Valle", 
        "givenName": "Ana C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Multimedia Communications Department, Institut Eur\u00e9com, 2229, route des Cr\u00eates, B.P. 193, 06904, Sophia Antipolis, France", 
          "id": "http://www.grid.ac/institutes/grid.28848.3e", 
          "name": [
            "Multimedia Communications Department, Institut Eur\u00e9com, 2229, route des Cr\u00eates, B.P. 193, 06904, Sophia Antipolis, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dugelay", 
        "givenName": "Jean-Luc", 
        "id": "sg:person.015053427343.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015053427343.37"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2002-12-16", 
    "datePublishedReg": "2002-12-16", 
    "description": "To study eyebrow behavior from video sequences we utilize a new image analysis technique based on an anatomical-mathematical motion model. This technique conceives the eyebrow as a single curved object (arch) that is subject to the deformation due to muscular interactions. The action model defines the simplified 2D (vertical and horizontal) displacements of the arch. Our video analysis algorithm recovers the needed data from the arch representation to deduce the parameters that deformed the proposed model. The present technique is meant to suit real-time requirements and to work under uncontrolled environments: without specific known lighting or special markers on the face, by using only computer vision and image processing methods.", 
    "editor": [
      {
        "familyName": "Perales", 
        "givenName": "Francisco Jos\u00e9", 
        "type": "Person"
      }, 
      {
        "familyName": "Hancock", 
        "givenName": "Edwin R.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/3-540-36138-3_18", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-540-00149-2", 
        "978-3-540-36138-1"
      ], 
      "name": "Articulated Motion and Deformable Objects", 
      "type": "Book"
    }, 
    "keywords": [
      "video sequences", 
      "real-time video sequences", 
      "real-time requirements", 
      "video analysis algorithms", 
      "image processing methods", 
      "computer vision", 
      "uncontrolled environments", 
      "image analysis techniques", 
      "analysis algorithm", 
      "motion model", 
      "new image analysis technique", 
      "special markers", 
      "synthetic representation", 
      "curved objects", 
      "processing methods", 
      "analysis techniques", 
      "movement analysis", 
      "action model", 
      "representation", 
      "algorithm", 
      "technique", 
      "objects", 
      "vision", 
      "requirements", 
      "model", 
      "present technique", 
      "environment", 
      "lighting", 
      "sequence", 
      "method", 
      "muscular interactions", 
      "data", 
      "face", 
      "eyebrows", 
      "parameters", 
      "analysis", 
      "behavior", 
      "interaction", 
      "deformation", 
      "displacement", 
      "markers", 
      "arch", 
      "eyebrow behavior", 
      "anatomical-mathematical motion model", 
      "single curved object", 
      "simplified 2D (vertical and horizontal) displacements", 
      "arch representation", 
      "Eyebrow Movement Analysis"
    ], 
    "name": "Eyebrow Movement Analysis over Real-Time Video Sequences for Synthetic Representation", 
    "pagination": "213-225", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020535485"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/3-540-36138-3_18"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/3-540-36138-3_18", 
      "https://app.dimensions.ai/details/publication/pub.1020535485"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:10", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_167.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/3-540-36138-3_18"
  }
]
 

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.10.1007/3-540-36138-3_18'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-36138-3_18'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-36138-3_18'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-36138-3_18'


 

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

119 TRIPLES      23 PREDICATES      73 URIs      66 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/3-540-36138-3_18 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nd891c1f949b8499fa48786cdf94d4c26
4 schema:datePublished 2002-12-16
5 schema:datePublishedReg 2002-12-16
6 schema:description To study eyebrow behavior from video sequences we utilize a new image analysis technique based on an anatomical-mathematical motion model. This technique conceives the eyebrow as a single curved object (arch) that is subject to the deformation due to muscular interactions. The action model defines the simplified 2D (vertical and horizontal) displacements of the arch. Our video analysis algorithm recovers the needed data from the arch representation to deduce the parameters that deformed the proposed model. The present technique is meant to suit real-time requirements and to work under uncontrolled environments: without specific known lighting or special markers on the face, by using only computer vision and image processing methods.
7 schema:editor N7e3b4eef6e3d4da4ab4f302e27f6d1e9
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Nf429418be76c4e98b72d06a21c428d0a
12 schema:keywords Eyebrow Movement Analysis
13 action model
14 algorithm
15 analysis
16 analysis algorithm
17 analysis techniques
18 anatomical-mathematical motion model
19 arch
20 arch representation
21 behavior
22 computer vision
23 curved objects
24 data
25 deformation
26 displacement
27 environment
28 eyebrow behavior
29 eyebrows
30 face
31 image analysis techniques
32 image processing methods
33 interaction
34 lighting
35 markers
36 method
37 model
38 motion model
39 movement analysis
40 muscular interactions
41 new image analysis technique
42 objects
43 parameters
44 present technique
45 processing methods
46 real-time requirements
47 real-time video sequences
48 representation
49 requirements
50 sequence
51 simplified 2D (vertical and horizontal) displacements
52 single curved object
53 special markers
54 synthetic representation
55 technique
56 uncontrolled environments
57 video analysis algorithms
58 video sequences
59 vision
60 schema:name Eyebrow Movement Analysis over Real-Time Video Sequences for Synthetic Representation
61 schema:pagination 213-225
62 schema:productId N426ea2905f29418e93ccb5fab1889318
63 Nb3bc59acd0c04f7aba1efab1f18b8d7b
64 schema:publisher N803e9ebdee2e4463bea2df65add90471
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020535485
66 https://doi.org/10.1007/3-540-36138-3_18
67 schema:sdDatePublished 2022-01-01T19:10
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher N8326bcf4dbd34c1192647f047bb444b3
70 schema:url https://doi.org/10.1007/3-540-36138-3_18
71 sgo:license sg:explorer/license/
72 sgo:sdDataset chapters
73 rdf:type schema:Chapter
74 N0915b76a5c6f47be8c1fbf1d0b7c9da1 schema:familyName Perales
75 schema:givenName Francisco José
76 rdf:type schema:Person
77 N286bc04d763546f1a8eea0e6cbdda148 rdf:first N691cfcc4b0b1470e98485e67b7754e71
78 rdf:rest rdf:nil
79 N426ea2905f29418e93ccb5fab1889318 schema:name dimensions_id
80 schema:value pub.1020535485
81 rdf:type schema:PropertyValue
82 N691cfcc4b0b1470e98485e67b7754e71 schema:familyName Hancock
83 schema:givenName Edwin R.
84 rdf:type schema:Person
85 N7e3b4eef6e3d4da4ab4f302e27f6d1e9 rdf:first N0915b76a5c6f47be8c1fbf1d0b7c9da1
86 rdf:rest N286bc04d763546f1a8eea0e6cbdda148
87 N803e9ebdee2e4463bea2df65add90471 schema:name Springer Nature
88 rdf:type schema:Organisation
89 N8326bcf4dbd34c1192647f047bb444b3 schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 N9d13bcfaf7334ce5a8cfeb28e03bbf67 schema:affiliation grid-institutes:grid.28848.3e
92 schema:familyName Andrés del Valle
93 schema:givenName Ana C.
94 rdf:type schema:Person
95 Nb3bc59acd0c04f7aba1efab1f18b8d7b schema:name doi
96 schema:value 10.1007/3-540-36138-3_18
97 rdf:type schema:PropertyValue
98 Nd891c1f949b8499fa48786cdf94d4c26 rdf:first N9d13bcfaf7334ce5a8cfeb28e03bbf67
99 rdf:rest Nfa83f042065e46779ec2eb57290d8544
100 Nf429418be76c4e98b72d06a21c428d0a schema:isbn 978-3-540-00149-2
101 978-3-540-36138-1
102 schema:name Articulated Motion and Deformable Objects
103 rdf:type schema:Book
104 Nfa83f042065e46779ec2eb57290d8544 rdf:first sg:person.015053427343.37
105 rdf:rest rdf:nil
106 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
107 schema:name Information and Computing Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
110 schema:name Artificial Intelligence and Image Processing
111 rdf:type schema:DefinedTerm
112 sg:person.015053427343.37 schema:affiliation grid-institutes:grid.28848.3e
113 schema:familyName Dugelay
114 schema:givenName Jean-Luc
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015053427343.37
116 rdf:type schema:Person
117 grid-institutes:grid.28848.3e schema:alternateName Multimedia Communications Department, Institut Eurécom, 2229, route des Crêtes, B.P. 193, 06904, Sophia Antipolis, France
118 schema:name Multimedia Communications Department, Institut Eurécom, 2229, route des Crêtes, B.P. 193, 06904, Sophia Antipolis, France
119 rdf:type schema:Organization
 




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


...