The Lab has extensive experience and expertise in semantic multimedia analysis, indexing and retrieval, social media and big data analytics, knowledge structures, reasoning and personalization for multimedia applications, eHealth and environmental applications

MKLab presents the Oil Spill Detection Dataset to the research community

(a) Sample of a SAR image and (b) Corresponding annotated image. Cyan color corresponds to oil spills, red to look-alikes, brown to ships, green to land and black is for sea surface. Aiming to enhance the research activity in the field of oil spill detection, the Multimedia Knowledge and Social Media Analytics Laboratory (MKLab) has developed the Oil Spill Detection Dataset, a dataset containing Synthetic Aperture Radar (SAR) images depicting oil spills and other relevant instances.

Resting-State High-Density EEG using EGI GES 300 with 256 Channels of Healthy Elders, People with Subjective and Mild Cognitive Impairment and Alzheimer's Disease

This repository contains Matlab files including 4 samples of 15 minutes resting-state EEG recording for Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), Subjective Cognitive Decline (SCD), and Healthy Controls (HC) using the HD-EEG EGI 300 Geodesic EEG system (GES 300, CERTH-ITI, Thessaloniki, Greece) with a 256-channel HydroCel Geodesic Sensor Net (HCGSN). In total 230 participants have been recruited from the memory and dementia clinic of the Greek Association of Alzheimer's Disease and Related Disorders (GAADRD) and the 1st Department of Neurology, U.

Joint EOPEN-BETTER exercise in the H2020 BETTER Project Hackathon

A joint exercise will be supported by Fraunhofer IAIS (BETTER project) and MKLab ITI-CERTH (EOPEN project) in the final BETTER Hackathon. This step-by-step exercise will involve the conversion of Tweets to RDF for ingestion by SANSA for semantic geo-clustering and visualization. We invite students, software developers, data scientists, EO-developers, or anyone with interest in EO and semantic interoperability topics to participate. Date & Time 29 October 1.30pm – 5.30pm CET

Flood-Related Multimedia Task at MediaEval 2020

MKLab in cooperation with the Alto Adriatico Water Authority (AAWA) is organizing the Flood-related Multimedia task at the MediaEval Multimedia Evaluation benchmark, an initiative that is dedicated to evaluating new algorithms for multimedia access and retrieval. The task requires participants to build an information retrieval system or a classifier that is able to distinguish whether or not a tweet is relevant to a flooding event in an area of interest, in order to support flood disaster management.

Visualisation Tool for monitoring Italian tweets concerning COVID19

The Multimedia Knowledge and Social Media Analytics Laboratory (MKLab) of the Centre for Research & Technology Hellas (CERTH) participates and contributes actively in the Security Research Rapid Response Platform ( and the efforts to combat COVID19 by developing a web-based application to monitor, analyse and visualise social media posts related to the Coronavirus pandemic. The Social Media Visualisation Tool ( collects tweets with the hashtags #covid19Italy and #covid19italia, focusing on the region of Italy.

Η εκπαίδευση στα χρόνια του κορονοϊού μέσω τρισδιάστατων εμπειριών

Tο εργαστήριο «Γνώσης, Πολυμέσων και Κοινωνικών Δικτύων» (MKlab) του Εθνικού Κέντρου Έρευνας και Τεχνολογικής Ανάπτυξης (ΕΚΕΤΑ) αναπτύσσει τρισδιάστατες εφαρμογές και εκπαιδευτικά παιχνίδια που παρέχονται δωρεάν και μπορούν να αποτελέσουν μια δημιουργική, εναλλακτική απασχόληση στις δύσκολες αυτές στιγμές που όλοι βιώνουμε. 1. Πάρκο της Αιολικής Ενέργειας “Wind Energy Lab” Μια εφαρμογή προσομοίωσης για την κατασκευή και διαχείριση πάρκων αιολικής ενέργειας που απευθύνεται σε παιδιά του δημοτικού σχολείου. Το εικονικό εργαστήριο δίνει στα παιδιά τη δυνατότητα να φτιάξουν και να διαχειριστούν το δικό τους πάρκο αιολικής ενέργειας μελετώντας τους παράγοντες που επηρεάζουν το κόστος και το κέρδος που έχει ένα τέτοιο πάρκο κατά τη διάρκεια ενός χρόνου.

Best Paper Award at MMM 2020

The MKLab paper on "Unsupervised Video Summarization via Attention-Driven Adversarial Learning", authored by E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, and supported by the ReTV H2020 project (, was presented at the 26th Int. Conf. on Multimedia Modeling (MMM2020), Daejeon, Korea, in January 2020, and received the MMM 2020 Best Paper Award. The full-text paper, presentation slides, and open-sourced software are available from the following links: Paper: https://www.

2nd place at Copernicus Thessaloniki Hackathon

We are proud to announce that our team, consisted of S. Andreadis, M. Mpakratsas, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis and I. Kompatsiaris, has succeeded to place second out of thirteen teams in the first Copernicus Thessaloniki Hackathon! The hackathon was organized by Draxis environmental company and was held in Thessaloniki, Greece from 29/11 till 01/12/2019. Using the motto "Sustainable solutions for a sustainable way of living", the Copernicus Thessaloniki Hackathon invited participants to think and build a prototype using Space Data & Earth Observation Services.

SEMAPRO 2019 2nd Best Paper Award

We are glad to announce that our paper entitled "Static and Dynamic Haptograms to Communicate Semantic Content Towards Enabling Face-to-Face Communication for People with Deafblindness", by S. Darányi, N. Olson, M. Riga, E. Kontopoulos and I. Kompatsiaris, has been awarded with the 2nd prize for best paper award of those presented at the SEMAPRO 2019 conference, which was held in Porto during September 22-26, 2019. The paper was presented in the SyMpATHY special track and describes the use of static and dynamic haptograms for the communication between deafblind and non-deafblind users.

BDV associate member

Improve My City Mobile

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Improve My City Mobile, allows citizens to report local problems and suggest solutions for improving their neighbourhood. Learn more...

Motorola collaborations

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The Multimedia Group has been collaborating with Motorola in several Motorola funded R&D projects.


NVIDIA links Multimedia Group for the GPU-LIBSVM implementation

HR Excellence in Research

HR Excellence in Research