Visual Computing Lab

Our paper “A System Architecture for Live Immersive 3D-Media Transcoding over 5G Networks” was presented at IEEE BMSB 2018.   A. Doumanoglou, N. Zioulis, D. Griffin, J. Serrano, T. Khoa Phan, D. Jimenez, D. Zarpalas, F. Alvarez, M. Rio, P. Daras, “A System Architecture for Live Immersive 3D-Media Transcoding over 5G Networks”, Workshop on Media delivery innovations using flexible network models in 5G, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB18), Valencia, Spain, 6th – 8th June 2018…

Our paper “Subjective Quality Assessment of Textured Human Full-Body 3D Reconstructions” was presented at IEEE QoMEX 2018. A. Doumanoglou, N. Zioulis, E. Christakis, D. Zarpalas, P. Daras, “Subjective quality assessment of textured human full-body 3D-reconstructions”, International Conference on Quality of Multimedia Experience (QoMEX 2018), Sardinia, Italy, 29 May – 1 June 2018 View Publication

We demonstrate our technology via a prototype two player game that can support spectating in various devices like head mounted displays (VR) or tablet laptops (AR). Our system is easy to setup, requiring minimal non-technical human intervention, and relatively low cost taking one step ahead in making this technology available to the consumer public. A. Karakottas, A. Papachristou, A. Doumanoglou, N. Zioulis, D. Zarpalas, P. Daras,”Augmented VR”, IEEE VR, Reutlingen, Germany, 18-22 March 2018, https://www.youtube.com/watch?v=7O_TrhtmP5Q View Publication

Factory2Fit is a H2020 funded research and innovation project. Creating worker-centred solutions for factories of the future. Mr. Kostas Apostolakis, from Visual Computing Lab, demonstrates AR training solutions for workers of PrimaPower factory in Kauhava using HoloLens!     http://factory2fit.eu/   https://twitter.com/factory2fit_eu  

Press release 12/1/18   Management of Networked IoT Wearables – Very Large Scale Demonstration of Cultural and Security Applications Improve sound experience and safety at large, cultural events in the city   The innovation project MONICA will demonstrate how cities can use the Internet of Things to deal with sound, noise and security challenges at big, cultural, open-air events. A range of applications will be demonstrated in six major European cities involving more than 100.000 users in total. Imagine sound…

The Single RTDI State Aid Action “RESEARCH – CREATE – INNOVATE” support measure is funded by the Operational Programme Competitiveness, Entrepreneurship and Innovation 2014-2020 (EPAnEK). The measure aims to support research and innovation, technological development and demonstration at operating enterprises for the development of new or improved products, the development of synergies among enterprises, research and development centres and higher education sector as well as to support the patentability of research results and industrial property. In that context, the main objectives of…

This work presented a fall detection method based on Recurrent Neural Networks. It leverages the ability of recurrent networks to process sequential data, such as acceleration measurements from body-worn devices, as well as data augmentation in the form of random rotations of the input acceleration signal. Τhe proposed method was able to find all but one fall event, while at the same time producing no false alarms when tested on the publicly available URFD dataset. Proceedings/Precision Medicine Powered by pHealth…