Publikation: A Novel Approach to Enable Semantic and Visual Image Summarization for Exploratory Image Search
Lade...
Dateien
Datum
2008
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR '08. New York, New York, USA: ACM Press, 2008, pp. 358-365. ISBN 978-1-60558-312-9. Available under: doi: 10.1145/1460096.1460155
Zusammenfassung
In this paper, we have developed a novel scheme to incorporate topic network and representativeness-based sampling for achieving semantic and visual summarization and visualization of large-scale collections of Flickr images. First, topic network is automatically generated for summarizing and visualizing large-scale collections of Flickr images at a semantic level, so that users can select more suitable keywords for more precise query formulation. Second, the diverse visual similarities between the semantically-similar images are characterized more precisely by using a mixture-of-kernels and a representativeness-based image sampling algorithm is developed to achieve similarity-based summarization and visualization of large amounts of images under the same topic, so that users can find some particular images of interest more effectively. Our experiments on large-scale image collections with diverse semantics have provided very positive results.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Image summarization, topic network, representative images, exploratory search
Konferenz
The 1st ACM international conference on Multimedia information retrieval - MIR '08, 30. Okt. 2008 - 31. Okt. 2008, Vancouver, British Columbia, Canada
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
FAN, Jianping, Yuli GAO, Hangzai LUO, Daniel A. KEIM, Zongmin LI, 2008. A Novel Approach to Enable Semantic and Visual Image Summarization for Exploratory Image Search. The 1st ACM international conference on Multimedia information retrieval - MIR '08. Vancouver, British Columbia, Canada, 30. Okt. 2008 - 31. Okt. 2008. In: Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR '08. New York, New York, USA: ACM Press, 2008, pp. 358-365. ISBN 978-1-60558-312-9. Available under: doi: 10.1145/1460096.1460155BibTex
@inproceedings{Fan2008Novel-5599,
year={2008},
doi={10.1145/1460096.1460155},
title={A Novel Approach to Enable Semantic and Visual Image Summarization for Exploratory Image Search},
isbn={978-1-60558-312-9},
publisher={ACM Press},
address={New York, New York, USA},
booktitle={Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR '08},
pages={358--365},
author={Fan, Jianping and Gao, Yuli and Luo, Hangzai and Keim, Daniel A. and Li, Zongmin}
}RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/5599">
<dc:language>eng</dc:language>
<dc:creator>Li, Zongmin</dc:creator>
<dc:creator>Fan, Jianping</dc:creator>
<dc:creator>Keim, Daniel A.</dc:creator>
<dc:contributor>Keim, Daniel A.</dc:contributor>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5599/1/A_Novel_Approach_to_Enable_Semantic_and_Visual_Image_Summarization_for_Exploratory_Image_Search.pdf"/>
<bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5599"/>
<dcterms:bibliographicCitation>First publ. as paper in: Proceeding of the 1st ACM international conference on Multimedia information retrieval, Vancouver, British Columbia, Canada, October 30-31, 2008</dcterms:bibliographicCitation>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:contributor>Fan, Jianping</dc:contributor>
<dc:creator>Luo, Hangzai</dc:creator>
<dc:contributor>Gao, Yuli</dc:contributor>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:56:42Z</dcterms:available>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:56:42Z</dc:date>
<dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/>
<dcterms:abstract xml:lang="eng">In this paper, we have developed a novel scheme to incorporate topic network and representativeness-based sampling for achieving semantic and visual summarization and visualization of large-scale collections of Flickr images. First, topic network is automatically generated for summarizing and visualizing large-scale collections of Flickr images at a semantic level, so that users can select more suitable keywords for more precise query formulation. Second, the diverse visual similarities between the semantically-similar images are characterized more precisely by using a mixture-of-kernels and a representativeness-based image sampling algorithm is developed to achieve similarity-based summarization and visualization of large amounts of images under the same topic, so that users can find some particular images of interest more effectively. Our experiments on large-scale image collections with diverse semantics have provided very positive results.</dcterms:abstract>
<dcterms:title>A Novel Approach to Enable Semantic and Visual Image Summarization for Exploratory Image Search</dcterms:title>
<dc:contributor>Li, Zongmin</dc:contributor>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:contributor>Luo, Hangzai</dc:contributor>
<dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights>
<dcterms:issued>2008</dcterms:issued>
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5599/1/A_Novel_Approach_to_Enable_Semantic_and_Visual_Image_Summarization_for_Exploratory_Image_Search.pdf"/>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:creator>Gao, Yuli</dc:creator>
<dc:format>application/pdf</dc:format>
</rdf:Description>
</rdf:RDF>Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
