Big Data for personalized user experience in AR
- Resource Type
- Authors
- Lavric, Traian; Preda, Marius; Scurtu, Veronica
- Source
- [Research Report] Dépt. ARTEMIS (Institut Mines-Télécom-Télécom SudParis); Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (Institut Mines-Télécom-Télécom SudParis-CNRS). 2016
- Subject
- Big data
Augmented Reality
User experience
[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]
- Language
- English
The goal of this paper is to identify how Big Data can be useful in AR and which are the specifications that have to be met by ARAF in order to be able to take advantage of such technology. 114th MPEG meeting, San Diego, USA, February 2016 - ISO/IEC JTC1/SC29/WG11/M37910