Date

2014

Document Type

Thesis

Degree

Master of Science

Department

Computer Science

First Adviser

Munoz-Avila, Hector

Abstract

In this thesis, we describe a new method for implementing intelligent automated camera control in spectator games, specifically in replays of the video game Dota 2. First, we givea brief overview of Dota 2 and how spectator mode functions in games. We survey current camera control systems used in industry and conclude that current solutions use only simpleheuristics to control the camera. We propose an improved solution that uses a hybrid of both machine learning and heuristics for performing camera control, which would be able to detect important and interesting events. Next, we describe an implementation ofour solution in the form of a Python prototype. Finally, we present the results of testing our prototype on users found via the Amazon Mechanical Turk platform. We conclude that although our prototype did not fare well in testing, it could potentially replace currentsystems used in games. We also explore possible areas for future work, such as use in games other than Dota 2.

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