Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2015-08-21

AUTHORS

Simone Buoncompagni , Dario Maio , Davide Maltoni , Serena Papi

ABSTRACT

In this paper we show that Saliency-based keypoint selection makes natural landmark detection and object recognition quite effective and efficient, thus enabling augmented reality techniques in a plethora of applications in smart city contexts. As a case study we address a tour of a museum where a modern smart device like a tablet or smartphone can be used to recognize paintings, retrieve their pose and graphically overlay useful information. More... »

PAGES

209-217

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-23222-5_26

DOI

http://dx.doi.org/10.1007/978-3-319-23222-5_26

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007986725


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": "DISI, Universit\u00e0 di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "DISI, Universit\u00e0 di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Buoncompagni", 
        "givenName": "Simone", 
        "id": "sg:person.010622026625.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010622026625.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "DISI, Universit\u00e0 di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "DISI, Universit\u00e0 di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maio", 
        "givenName": "Dario", 
        "id": "sg:person.013075040365.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075040365.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "DISI, Universit\u00e0 di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "DISI, Universit\u00e0 di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maltoni", 
        "givenName": "Davide", 
        "id": "sg:person.01020634131.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020634131.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "CIRI ICT, Universit\u00e0 di Bologna, Via Rasi e Spinelli 146, 47521, Cesena, Italy", 
          "id": "http://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "CIRI ICT, Universit\u00e0 di Bologna, Via Rasi e Spinelli 146, 47521, Cesena, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Papi", 
        "givenName": "Serena", 
        "id": "sg:person.015560563173.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015560563173.19"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2015-08-21", 
    "datePublishedReg": "2015-08-21", 
    "description": "In this paper we show that Saliency-based keypoint selection makes natural landmark detection and object recognition quite effective and efficient, thus enabling augmented reality techniques in a plethora of applications in smart city contexts. As a case study we address a tour of a museum where a modern smart device like a tablet or smartphone can be used to recognize paintings, retrieve their pose and graphically overlay useful information.", 
    "editor": [
      {
        "familyName": "Murino", 
        "givenName": "Vittorio", 
        "type": "Person"
      }, 
      {
        "familyName": "Puppo", 
        "givenName": "Enrico", 
        "type": "Person"
      }, 
      {
        "familyName": "Sona", 
        "givenName": "Diego", 
        "type": "Person"
      }, 
      {
        "familyName": "Cristani", 
        "givenName": "Marco", 
        "type": "Person"
      }, 
      {
        "familyName": "Sansone", 
        "givenName": "Carlo", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-23222-5_26", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-319-23221-8", 
        "978-3-319-23222-5"
      ], 
      "name": "New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops", 
      "type": "Book"
    }, 
    "keywords": [
      "Natural Landmark Detection", 
      "Augmented Reality Applications", 
      "smart city context", 
      "modern smart devices", 
      "landmark detection", 
      "reality techniques", 
      "smart devices", 
      "smart cities", 
      "keypoint selection", 
      "object recognition", 
      "plethora of applications", 
      "city context", 
      "saliency", 
      "useful information", 
      "pose", 
      "case study", 
      "smartphones", 
      "applications", 
      "recognition", 
      "information", 
      "detection", 
      "devices", 
      "tour", 
      "plethora", 
      "technique", 
      "selection", 
      "context", 
      "Museum", 
      "tablets", 
      "city", 
      "painting", 
      "reduction", 
      "study", 
      "paper"
    ], 
    "name": "Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities", 
    "pagination": "209-217", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007986725"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-23222-5_26"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-23222-5_26", 
      "https://app.dimensions.ai/details/publication/pub.1007986725"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-12-01T06:54", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/chapter/chapter_438.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-23222-5_26"
  }
]
 

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.10.1007/978-3-319-23222-5_26'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-23222-5_26'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-23222-5_26'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-23222-5_26'


 

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

136 TRIPLES      22 PREDICATES      58 URIs      51 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-23222-5_26 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N74ec273058a6432bb5478487d750d2a6
4 schema:datePublished 2015-08-21
5 schema:datePublishedReg 2015-08-21
6 schema:description In this paper we show that Saliency-based keypoint selection makes natural landmark detection and object recognition quite effective and efficient, thus enabling augmented reality techniques in a plethora of applications in smart city contexts. As a case study we address a tour of a museum where a modern smart device like a tablet or smartphone can be used to recognize paintings, retrieve their pose and graphically overlay useful information.
7 schema:editor N2329933f27c548389036ffe93bba97f9
8 schema:genre chapter
9 schema:isAccessibleForFree true
10 schema:isPartOf N2d4eb847303049e59b873708ffe1b0e7
11 schema:keywords Augmented Reality Applications
12 Museum
13 Natural Landmark Detection
14 applications
15 case study
16 city
17 city context
18 context
19 detection
20 devices
21 information
22 keypoint selection
23 landmark detection
24 modern smart devices
25 object recognition
26 painting
27 paper
28 plethora
29 plethora of applications
30 pose
31 reality techniques
32 recognition
33 reduction
34 saliency
35 selection
36 smart cities
37 smart city context
38 smart devices
39 smartphones
40 study
41 tablets
42 technique
43 tour
44 useful information
45 schema:name Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities
46 schema:pagination 209-217
47 schema:productId N2b7dba1f2edc4728aeaaf9b57e4b6fc1
48 N4a34d273db0c4568926172d91fb6e70e
49 schema:publisher Nd625f03599c24e6fad57b448c18d7c47
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007986725
51 https://doi.org/10.1007/978-3-319-23222-5_26
52 schema:sdDatePublished 2022-12-01T06:54
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N804533591cc44fb4ac49d93f2b639f79
55 schema:url https://doi.org/10.1007/978-3-319-23222-5_26
56 sgo:license sg:explorer/license/
57 sgo:sdDataset chapters
58 rdf:type schema:Chapter
59 N0e83c4324a03403ea9a666d1e0c8050d rdf:first Ne824fdc141fc4ce296c43968a5660161
60 rdf:rest Ne1c2d47cde0b4c5ca208d0e2ecc524a3
61 N2329933f27c548389036ffe93bba97f9 rdf:first Nedff19f4fc034203a40fbcb8317da463
62 rdf:rest N8f20dbe7115c44d5a4995042670d99b9
63 N2b7dba1f2edc4728aeaaf9b57e4b6fc1 schema:name doi
64 schema:value 10.1007/978-3-319-23222-5_26
65 rdf:type schema:PropertyValue
66 N2d4eb847303049e59b873708ffe1b0e7 schema:isbn 978-3-319-23221-8
67 978-3-319-23222-5
68 schema:name New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
69 rdf:type schema:Book
70 N4a34d273db0c4568926172d91fb6e70e schema:name dimensions_id
71 schema:value pub.1007986725
72 rdf:type schema:PropertyValue
73 N4e8dc4c05a8b44a6bd61bf1bf3fd0b3d rdf:first N9ca4a8e547ed4edab093c3ac11db3ed0
74 rdf:rest rdf:nil
75 N74ec273058a6432bb5478487d750d2a6 rdf:first sg:person.010622026625.92
76 rdf:rest N940dbc0420ce42d399b311f5add7f782
77 N804533591cc44fb4ac49d93f2b639f79 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N83864c82d8aa4485916fc556643bbdcf rdf:first sg:person.015560563173.19
80 rdf:rest rdf:nil
81 N8f20dbe7115c44d5a4995042670d99b9 rdf:first Ne391d63fc4974409a34ac5162cc2900c
82 rdf:rest N0e83c4324a03403ea9a666d1e0c8050d
83 N940dbc0420ce42d399b311f5add7f782 rdf:first sg:person.013075040365.65
84 rdf:rest Nd2a18a4af0b94f7296642a6c8bb3d66d
85 N9ca4a8e547ed4edab093c3ac11db3ed0 schema:familyName Sansone
86 schema:givenName Carlo
87 rdf:type schema:Person
88 Nd2a18a4af0b94f7296642a6c8bb3d66d rdf:first sg:person.01020634131.30
89 rdf:rest N83864c82d8aa4485916fc556643bbdcf
90 Nd625f03599c24e6fad57b448c18d7c47 schema:name Springer Nature
91 rdf:type schema:Organisation
92 Ne1c2d47cde0b4c5ca208d0e2ecc524a3 rdf:first Ne96803c6a58948c3877ae9ce20ba9709
93 rdf:rest N4e8dc4c05a8b44a6bd61bf1bf3fd0b3d
94 Ne391d63fc4974409a34ac5162cc2900c schema:familyName Puppo
95 schema:givenName Enrico
96 rdf:type schema:Person
97 Ne824fdc141fc4ce296c43968a5660161 schema:familyName Sona
98 schema:givenName Diego
99 rdf:type schema:Person
100 Ne96803c6a58948c3877ae9ce20ba9709 schema:familyName Cristani
101 schema:givenName Marco
102 rdf:type schema:Person
103 Nedff19f4fc034203a40fbcb8317da463 schema:familyName Murino
104 schema:givenName Vittorio
105 rdf:type schema:Person
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.01020634131.30 schema:affiliation grid-institutes:grid.6292.f
113 schema:familyName Maltoni
114 schema:givenName Davide
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020634131.30
116 rdf:type schema:Person
117 sg:person.010622026625.92 schema:affiliation grid-institutes:grid.6292.f
118 schema:familyName Buoncompagni
119 schema:givenName Simone
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010622026625.92
121 rdf:type schema:Person
122 sg:person.013075040365.65 schema:affiliation grid-institutes:grid.6292.f
123 schema:familyName Maio
124 schema:givenName Dario
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075040365.65
126 rdf:type schema:Person
127 sg:person.015560563173.19 schema:affiliation grid-institutes:grid.6292.f
128 schema:familyName Papi
129 schema:givenName Serena
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015560563173.19
131 rdf:type schema:Person
132 grid-institutes:grid.6292.f schema:alternateName CIRI ICT, Università di Bologna, Via Rasi e Spinelli 146, 47521, Cesena, Italy
133 DISI, Università di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy
134 schema:name CIRI ICT, Università di Bologna, Via Rasi e Spinelli 146, 47521, Cesena, Italy
135 DISI, Università di Bologna, Mura Anteo Zamboni 7, 40126, Bologna, Italy
136 rdf:type schema:Organization
 




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


...