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Rothe, Sylvia; Höllerer, Tobias; Hussmann, Heinrich (2018): CVR-Analyzer: A Tool for Analyzing Cinematic Virtual Reality Viewing Patterns. In: 17Th International Conference on Mobile and Ubiquitous Multimedia (Mum 2018): pp. 127-137
Full text not available from 'Open Access LMU'.

Abstract

Cinematic Virtual Reality has been increasing in popularity over the last years. Watching omnidirectional movies with head mounted displays, viewers can freely choose the direction of view, and thus the visible section of the movie. In order to explore the users' viewing behavior, methods are needed for collecting and analyzing data. We developed an analyzing tool, the CVR-Analyzer, which can be used for inspecting head pose and eye tracking data of viewers experiencing CVR movies. The visualized data are displayed on a flattened projection of the movie as flexibly controlled augmenting annotations, such as tracks or heatmaps, synchronously with the time code of the movie and allow inspecting and comparing the users' viewing behavior in different use cases.