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[POSTER] MR TV Mozaik: A New Mixed Reality Interactive TV Experience

Authors: Matthieu Fradet; Caroline Baillard; Anthony Laurent; Tao Luo; Philippe Robert; Vincent Alleaume; Pierrick Jouet; +1 Authors

[POSTER] MR TV Mozaik: A New Mixed Reality Interactive TV Experience

Abstract

Technicolor has been investigating how Mixed Reality technology could impact the future of home entertainment. We have designed and implemented a system to extend a standard TV experience with AR content, using a consumer tablet or a headset. A virtual TV mosaic is displayed around the TV screen and used as a GUI to control both TV and MR content. Using this interface, the user is able to switch TV content, display meta-data in AR (subtitles, text information or program guide), enhance TV content with interactive 3D objects blended in the environment, or play a game in interaction with the real world. The interactions between the real and the virtual worlds are handled thanks to a scene analysis pre-processing stage, which provides information about both the geometry and the lighting of the real environment. The real-virtual interactions strongly contribute to reinforcement of the immersion feeling. User feedback shows that the concept is very promising.

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    influence
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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