Best Poster Award @ ACM ICMR 2017

The paper “Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection”, by D. Galanopoulos, F. Markatopoulou, V. Mezaris, and I. Patras, received the Best Poster Award at the ACM International Conference on Multimedia Retrieval (ICMR 2017) that took place in Bucharest, Romania.

Tweet Verification Assistant snapshot

MKLab will present their work on Learning to Detect Misleading Content on Twitter and YouTube to ICMR 2017

MKLab have been working for some time now on the problems of fake news and of misinformation in social media. Our work has recently led to some important achievements: we developed a very effective machine learning-based algorithm for automatically deciding whether a tweet is credible, i.e. whether it accurately reflects the event to which it refers.

MKLab Published its First MOOC on Udemy

MKLab proudly announces the release of its "Dynamics of Knowledge Organisation" MOOC on Udemy. Featuring more than 2 hours of recorded video content, the course studies the involvement and application of semantics in Digital Preservation and has been produced within the context of the PERICLES FP7 project.

Release of concept detection scores for IACC.3

We provide a complete set of concept detection scores, using our state of the art concept detectors, for the videos of the IACC.3 dataset that is used in the TRECVID AVS Task from 2016 and on (600 hr of internet archive videos). Concept detection scores for 1345 concepts (1000 ImageNet concepts and 345 TRECVID SIN concepts) have been generated using two different automatic video annotation methods. The dataset and the related publications can be found at:

MKLab successfully showcased the results of HOMER Project to Law Enforcement Agents from South East Europe

The HOMER South East European RoadShow Event was held in Thessaloniki, Greece on December 15, 20016, co-organized by MKLab (ITI-CERTH), South-East European Research Centre and the Bulgarian Defense Institute. During the event the achievements of the HOMER consortium were presented to law enforcement and security agencies from South East Europe focusing on demonstrating the Homemade Explosive (HME) Discovery Tools and the HME Knowledge Management Platform (KMP).

Special Track - MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications

A special track on MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications is organized in conjuction with the 30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, which will take place in Thessaloniki, Greece from Thursday 22nd to Saturday 24th of June 2017.

Important dates:

MKLab Participating in PERICLES PhD Course

MKLab enthusiastically participates in the PhD course "Dynamics of Knowledge Organization" that is funded by the PERICLES FP7 project and is organized by the School of Library and Information Science, University of Borås.

MKLab Showcases the Outcomes from the REVEAL Project

The REVEAL project is nearing its end (official end date is 31 December 2016), and our team has a number of interesting results to share with the community. The results are of interest for a number of applications related to news mining, social media retrieval and verification. In particular, we make available:

MKLab and INAB joint work on individualized modelling in CLL (hematologic cancer) accepted as a project in European Research Initiative on CLL (ERIC)

ERIC, the European Reasearch Initiative on Chronic Lymphocytic Leukemia (CLL), has accepted our joint work with the Institute of Applied Bioscience (INAB) on individualized modelling of CLL patients, presented at ASH 2015 [1].

MKLab participation to the TRECVID 2016 AVS task

MKLab successfully participated to the Ad-hoc Video Search (AVS) of TRECVID 2016. The AVS task attempts to model the end-user video search use-case, where the user is looking for segments of video containing persons, objects, activities, locations, etc. and combinations of the former. To express this information need, the user provides to the retrieval system a short query in natural language, e.g., “Find shots of a person playing guitar outdoors”.