Dynamic Visual Abstraction of Soccer Movement

Lade...
Vorschaubild
Dateien
Sacha_0-416327.pdf
Sacha_0-416327.pdfGröße: 516.25 KBDownloads: 231
Datum
2017
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
HEER, Jeffrey, ed. and others. EuroVis 2017 Eurographics / IEEE VGTC Conference on Visualization 2017. 2017, pp. 305-315. Computer Graphics Forum. 36,3. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.13189
Zusammenfassung

Trajectory-based visualization of coordinated movement data within a bounded area, such as player and ball movement within a soccer pitch, can easily result in visual crossings, overplotting, and clutter. Trajectory abstraction can help to cope with these issues, but it is a challenging problem to select the right level of abstraction (LoA) for a given data set and analysis task. We present a novel dynamic approach that combines trajectory simplification and clustering techniques with the goal to support interpretation and understanding of movement patterns. Our technique provides smooth transitions between different abstraction types that can be computed dynamically and on-the-fly. This enables the analyst to effectively navigate and explore the space of possible abstractions in large trajectory data sets. Additionally, we provide a proof of concept for supporting the analyst in determining the LoA semi-automatically with a recommender system. Our approach is illustrated and evaluated by case studies, quantitative measures, and expert feedback. We further demonstrate that it allows analysts to solve a variety of analysis tasks in the domain of soccer.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
Eurographics Conference on Visualization (EuroVis) 2017, 12. Juni 2017 - 16. Juni 2017, Barcelona
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690SACHA, Dominik, Feeras AL-MASOUDI, Manuel STEIN, Tobias SCHRECK, Daniel A. KEIM, Gennady ANDRIENKO, Halldor JANETZKO, 2017. Dynamic Visual Abstraction of Soccer Movement. Eurographics Conference on Visualization (EuroVis) 2017. Barcelona, 12. Juni 2017 - 16. Juni 2017. In: HEER, Jeffrey, ed. and others. EuroVis 2017 Eurographics / IEEE VGTC Conference on Visualization 2017. 2017, pp. 305-315. Computer Graphics Forum. 36,3. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.13189
BibTex
@inproceedings{Sacha2017-07-04Dynam-39673,
  year={2017},
  doi={10.1111/cgf.13189},
  title={Dynamic Visual Abstraction of Soccer Movement},
  number={36,3},
  issn={0167-7055},
  series={Computer Graphics Forum},
  booktitle={EuroVis 2017 Eurographics / IEEE VGTC Conference on Visualization 2017},
  pages={305--315},
  editor={Heer, Jeffrey},
  author={Sacha, Dominik and Al-Masoudi, Feeras and Stein, Manuel and Schreck, Tobias and Keim, Daniel A. and Andrienko, Gennady and Janetzko, Halldor}
}
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/123456789/39673">
    <dc:creator>Al-Masoudi, Feeras</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:abstract xml:lang="eng">Trajectory-based visualization of coordinated movement data within a bounded area, such as player and ball movement within a soccer pitch, can easily result in visual crossings, overplotting, and clutter. Trajectory abstraction can help to cope with these issues, but it is a challenging problem to select the right level of abstraction (LoA) for a given data set and analysis task. We present a novel dynamic approach that combines trajectory simplification and clustering techniques with the goal to support interpretation and understanding of movement patterns. Our technique provides smooth transitions between different abstraction types that can be computed dynamically and on-the-fly. This enables the analyst to effectively navigate and explore the space of possible abstractions in large trajectory data sets. Additionally, we provide a proof of concept for supporting the analyst in determining the LoA semi-automatically with a recommender system. Our approach is illustrated and evaluated by case studies, quantitative measures, and expert feedback. We further demonstrate that it allows analysts to solve a variety of analysis tasks in the domain of soccer.</dcterms:abstract>
    <dc:creator>Andrienko, Gennady</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:creator>Schreck, Tobias</dc:creator>
    <dc:creator>Sacha, Dominik</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:title>Dynamic Visual Abstraction of Soccer Movement</dcterms:title>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/39673"/>
    <dcterms:issued>2017-07-04</dcterms:issued>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Stein, Manuel</dc:contributor>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:creator>Janetzko, Halldor</dc:creator>
    <dc:language>eng</dc:language>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Schreck, Tobias</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/39673/1/Sacha_0-416327.pdf"/>
    <dc:contributor>Janetzko, Halldor</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-07-27T08:33:48Z</dcterms:available>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-07-27T08:33:48Z</dc:date>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Sacha, Dominik</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/39673/1/Sacha_0-416327.pdf"/>
    <dc:contributor>Andrienko, Gennady</dc:contributor>
    <dc:creator>Stein, Manuel</dc:creator>
    <dc:contributor>Al-Masoudi, Feeras</dc:contributor>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen