IMDb Explorer: Visual Exploration of a Movie Database

Michael Burch, Gerald Baulig, Tobias Boley, Arjana Mehmeti, Dina Kurbanismailova, Marc Roswag, O. Streicher, Steffen Wittig, Uwe Kloos
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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.
IMDb资源管理器:电影数据库的视觉探索
每年都有很多电影制作出来,太多了,看不完所有的电影,特别是,要了解典型电影类型和演员的演变概况。此外,检测电影和这些电影中的演员之间的相关性是一个具有挑战性的问题,特别是如果我们对趋势、反趋势或异常和异常值等时变数据模式感兴趣的话。如果可以在不同的粒度级别上检查这些相关性,例如,时间,但也可以以基于国家或大陆的相关性的形式进行分层,那么这些相关性就特别有趣。在本文中,我们描述了IMDb Explorer,这是一个基于网络的可视化工具,由电影宇宙和职业线表示的两个主要视图组成。这两个视图都是链接的,并且可以交互操作,而用户定义的指标列表是可浏览的。我们通过将可视化工具应用于IMDb提供的整个电影数据库来说明它的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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