NDLI: Augmenting virtual-reality environments with social-signal based music content

Content Provider	IEEE Xplore Digital Library
Author	Karydis, I. Deliyannis, I. Floros, A.
Copyright Year	2011
Description	Author affiliation: Department of Audio and Visual Arts, Ionian University, Corfu, Greece (Deliyannis, I.; Floros, A.) \|\| Department of Informatics, Ionian University, Corfu, Greece (Karydis, I.)
Abstract	Virtual environments and computer games incorporate music in order to enrich the audiovisual experience and further immerse users. Selecting musical content during design-time can have a controversial result based on the preferences of the users involved, while limiting the interactivity of the environment, affecting thus the effectiveness of immersion. In this work, we introduce a framework for the selection and incorporation of user preferable musical data into interactive virtual environments and games. The framework designates guidelines for both design and run-time annotation of scenes. Consequently, personal music preferences collected through local repositories or social networks can be processed, analysed, categorised and prepared for direct incorporation into virtual environments. This permits automated audio selection based on scene characteristics and scene characters' interaction, enriching or replacing the default designer choices. Proof-of-concept is given via development of a web-service that provides a video game with a dynamic interactive audio content based on predefined video game scene annotation and user musical preferences recorded in social network services.
Starting Page	1
Ending Page	6
File Size	1587779
Page Count	6
File Format	PDF
ISBN	9781457702730
e-ISBN	9781457702747
DOI	10.1109/ICDSP.2011.6004944
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-06
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Games Social network services Humans Virtual reality Feature extraction Computers Signal processing user immersion social-signal processing music information retrieval social-networking
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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