RESEARCH AREAS

Cutting edge Research in Computer Vision and Machine Learning

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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2018)

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…

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IEEE International Conference on Quality of Multimedia Experience (QoMEX 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

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IEEE VR 2018. Augmented VR – Α prototype two player game!

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

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U.S. Ambassador to the Hellenic Republic, Geoffrey R. Pyatt, visited the ITI Smart Home

U.S. Ambassador to the Hellenic Republic, Geoffrey R. Pyatt, visited the ΙΤΙ Smart Home on 27 April 2018. The CERTH/ITI nZEB Smart House is a rapid prototyping & novel technologies demonstration infrastructure resembling a real domestic building where occupants can experience actual living scenarios while exploring various innovating smart IoT-based technologies with provided Energy, Health, Big Data, Robotics and Artificial Intelligence (AI) services. As the first Smart near-Zero Energy Building in Greece, it combines enhanced construction materials and intelligent ICT…

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Factory2Fit Workshop on Engaging the Worker and the Work Community

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  

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Press release 12/1/18 – Improve sound experience and safety at large, cultural events in the city

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…

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RESEARCH – CREATE – INNOVATE

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…

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Best Paper Award ICBHI 2017

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…

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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

Contact Information

Dr. Petros Daras, Principal Researcher Grade Α
1st km Thermi – Panorama, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras@iti.gr