Michael Burch, Gerald Baulig, Tobias Boley, Arjana Mehmeti, Dina Kurbanismailova, Marc Roswag, O. Streicher, Steffen Wittig, Uwe Kloos
{"title":"IMDb Explorer: Visual Exploration of a Movie Database","authors":"Michael Burch, Gerald Baulig, Tobias Boley, Arjana Mehmeti, Dina Kurbanismailova, Marc Roswag, O. Streicher, Steffen Wittig, Uwe Kloos","doi":"10.1145/3231622.3231633","DOIUrl":null,"url":null,"abstract":"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 web-based 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.","PeriodicalId":272967,"journal":{"name":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Symposium on Visual Information Communication and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3231622.3231633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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 web-based 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.