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IMDb explorer: visual exploration of a movie database

  • Lots of movies are produced every year, too many to watch all of them and in particular, to get an overview about the evolution of typical movie genres and actors playing in them. Moreover, it is a challenging problem to detect correlations among the movies and the actors in those movies, in particular, if we are interested in time-varying data patterns like trends, countertrends, or anomalies and outliers. Those correlations are specifically interesting if they can be inspected on different levels of granularity, e.g., temporal, but also hierarchical in form of country- or continent-based correlations. In this paper we describe the IMDb Explorer, a webbased visualization tool that consists of two major views denoted by the movie cosmos and the career lines. Both views are linked and interactively manipulable while a list of user-defined metrics are explorable. We illustrate the usefulness of the visualization tool by applying it to the entire movie database provided by IMDb.

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Metadaten
Name:Boley, Tobias; Mehmeti, Arjana; Kurbanismailova, Dina; Roswag, Marc; Streicher, Oliver; Wittig, Steffen; Kloos, Uwe
DOI:https://doi.org/10.1145/3231622.3231633
ISBN:978-1-4503-6501-7
Erschienen in:VINCI 2018 : the 11th International Symposium on Visual Information, Communication and Interaction Växjö, Sweden — August 13 - 15, 2018
Publisher:The Association for Computing Machinery
Place of publication:New York, NY
Editor:Andreas Kerren
Document Type:Conference Proceeding
Language:English
Year of Publication:2018
Tag:IMDb; radial visualization; time-based visualization
Pagenumber:4
First Page:88
Last Page:91
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (English):License Logo  Lizenzbedingungen ACM