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 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.
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 (sec3r.com) 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 (beaware-server.mklab.iti.gr:3000) collects tweets with the hashtags #covid19Italy and #covid19italia, focusing on the region of Italy.
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.
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 (https://retv-project.eu), 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.
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.
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.
We are very delighted and proud to announce that our paper presenting the initial results of the SMART-WATER project received the best Work-in-Progress paper award at 2019 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL 2019), which took place at October in Thessaloniki, Greece. Τhe award-winning publication is titled "Work-In-Progress: SMART-WATER, a Novel Telemetry and Remote Control System Infrastructure for the Management of Water Consumption in Thessaloniki"
We are glad to announce that our paper with title "Knowledge-based Intelligence and Strategy Learning for Personalised Virtual Assistance in the Healthcare Domain", by E. Kamateri, G. Meditskos, S. Symeonidis, S. Vrochidis, I. Kompatsiaris and W. Minker, has been awarded as one of the top papers of the SEMAPRO 2019 conference that has been held in Porto during September 22-26, 2019. The paper was presented in the SyMpATHY special track and describes a novel virtual assistant framework that aggregates ontologies, semantic reasoning, dialogue management and policy learning techniques to support advanced task-oriented conversations extended by ”chatty” style dialogues.
This book presents the latest technological advances and practical tools for discovering, verifying and visualizing social media video content, and managing related rights. The digital media revolution is bringing breaking news to online video platforms, and news organizations often rely on user-generated recordings of new and developing events shared in social media to illustrate the story. However, in video, there is also deception. In today's "fake news" era, access to increasingly sophisticated editing and content management tools and the ease with which fake information spreads in electronic networks, require the entire news and media industries to carefully verify third-party content before publishing it.
In MKLab, we have been very active in recent years in the area of media-based online disinformation, conducting research in tools and technologies that help detect, study and combat online disinformation. In order to be more effective in spreading the word about our latest activities and results in this area, we have recently launched MeVer, the Media Verification team [website] and [Twitter account]. We plan to keep them updated with our recent progress, our results (tools, code, datasets) and experiences (e.