CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
By adding new games to our pipeline we are able to offer richer quests and challenges experiences
Challenge feed recommendation system (si apre in una nuova finestra)Our existing RecSys project is reconverted and improved to support quests and challenges engagement
Wallet supports the 3 major blockchains (si apre in una nuova finestra)Continuous effort of adding multiple blockchains / wallets supported
PC configurations management (si apre in una nuova finestra)PC configurations management (continuous)
Integration of 30 detection models on PC (si apre in una nuova finestra)PC app supports 30 detection models
Integration of 20 detection models on PC (si apre in una nuova finestra)Integration of 20 AI detection models to our PC app
Onboarding discovery (si apre in una nuova finestra)The user experience of quests and challenges is optimised on mobile
Setting up a process for prototype testing (si apre in una nuova finestra)Industrialising our prototype testing
Continuous improvements on PC video recorder CPU & GPU usage (si apre in una nuova finestra)Reduce CPU GPU usage on the users devices
Production launch and nominal operation on PC (si apre in una nuova finestra)Crypto wallet is launched on our PC app at nominal operations
Digital assets marketplace test release (si apre in una nuova finestra)In-app test release
Partners due diligence and selection (Crypto wallet) (si apre in una nuova finestra)We identify audit and select one or multiple crypto wallet partners
Leaderboard launch (si apre in una nuova finestra)A leaderboard where users can see their ranking compared to other participants to quests and challenges is relased
Integration of 15 detection models on PC (si apre in una nuova finestra)PC app supports 15 detection models
Security and implementation testing (si apre in una nuova finestra)Security is critical when handling users assets
Reaching 80% fidelity in new models detection (si apre in una nuova finestra)Reaching high levels of fidelity in the new games added to the model
Improvement on the delays to create an integrate new models for new games (si apre in una nuova finestra)In the perspective of scaling our user base, scaling our approach becomes critical
Optimisation of video resolution (si apre in una nuova finestra)Optimisation of video resolution for external sharing
Redesign of the user profile to highlight rewards PC (si apre in una nuova finestra)Redesign of the user profile to highlight rewards user library
Guaranteeing efficient R&D activities (si apre in una nuova finestra)Ensuring an high level view of all R&D activities all along the project timeline
Redesign of the user profile to highlight rewards Mobile (si apre in una nuova finestra)The user profile is redesigned fully to offer a consistent and enjoyable app experience
Reduce crash rate (si apre in una nuova finestra)reduce the crash rate to 5 to offer a seamless experience
Digital assets marketplace product release (si apre in una nuova finestra)Product release in the public app
Set up of automatic bots to share clips, achievements, etc. with other users (si apre in una nuova finestra)Distribution set up of automatic bots to share clips achievements etc with other users
"PhD research thesis ""Analysis of human behavior from video games using deep learning approaches"" (due in 36 months)"
Crypto wallet is launched on our mobile app at nominal operations
Quests launch on mobile thanks to the mobile recorder rebuild (si apre in una nuova finestra)Quests individual challenges are released on mobile
Reach 100k Discord users on Powder servers / using the Powder discord bot
Pubblicazioni
Autori:
Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
Pubblicato in:
Pattern Recognition Letters, 2021, ISSN 0167-8655
Editore:
Elsevier
DOI:
10.1016/j.patrec.2021.03.007
Autori:
H. Terbouche, L. Schoneveld, O. Benson, A. Othmani
Pubblicato in:
IEEE Access, Numero Volume 10, pp. 41622-41638, 2022, ISSN 2169-3536
Editore:
IEEE Access
DOI:
10.1109/ACCESS.2022.3164745
Autori:
L. Schoneveld, A. Othmani
Pubblicato in:
2021 IEEE International Conference on Image Processing (ICIP), Numero 2339-2342, 2021, ISSN 2381-8549
Editore:
IEEE Computer Society
DOI:
10.1109/ICIP42928.2021.9506025
Autori:
Hacene Terbouche, Maryan Morel, Mariano Rodriguez, Alice Othmani
Pubblicato in:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, ISSN 3142-3151
Editore:
IEEE/CVF (Computer Vision Foundation)
È in corso la ricerca di dati su OpenAIRE...
Si è verificato un errore durante la ricerca dei dati su OpenAIRE
Nessun risultato disponibile