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

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: Paper submission due (general and special tracks) January 30, 2017 Notification of acceptance for papers March 20, 2017 Final camera-ready paper due April 13, 2017 Early registration deadline April 23, 2017 IEEE CBMS 2017 conference days June 22-24, 2017

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.   The 2-month course started on 6-Dec and involves 8 students from around Europe, who will undergo intensive lectures, seminars and labs, where they will also have the opportunity to play around with PERICLES software tools.    The course focuses on the nature and role of knowledge organization in a rapidly changing digital world.

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: a comprehensive toolbox for image forensics along with a web-based user interface; a method and web user-interface for verifying tweets; a web service for automatically detecting images with disturbing content; a method for predicting the future popularity of reddit posts and YouTube videos; a method for classifying Twitter users based on their interactions with other users; a method for estimating the geographic location referred to by a piece of text; a method for automatically creating summaries from large collections of social media posts.

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]. Our objective in this work was to compare the performance of standard prognostic models in CLL (Cox regression models), novel machine learning models and clinicians' prognosis in predicting the Time-To-First-Treatment (TTFT) for each patient. ERIC accepted our work as an ongoing project with the objective to promote it to trained hematologists in order to obtain a large set of educated predictions with respect to TTFT.

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”. The experiments this year were performed on a set of Internet Archive videos totalling about 600 hours of video duration, and using 30 different queries.

Our FastAR Prototype short-listed for the Innovation Radar Prize 2016

FartAR prototype developed by our lab in the context of the Live+Gov EU-funded proejct has been short-listed for the Innovation Radar Prize 2016. Our innovation is one of 10 innovations that have been selected to compete for the prize in the "ICT for Society" category. After publishing the information of all innovations on the Innovation Radar webpage, a poll will be open for one month by end of July, for public vote.

1st Int. Workshop on Semantic Change & Evolving Semantics - SuCCESS’16

1st Int. Workshop on “Semantic Change & Evolving Semantics - SuCCESS’16” Leipzig, Germany, 12 September 2016 Website: In conjunction with the 12th International Conference on Semantic Systems – SEMANTiCS 2016 The proceedings of the workshop will be published in the digital library of the ACM ICP Series. Workshop objectives This half-day workshop aims at exploring emerging research in the areas of semantic change and evolving semantics. Semantics differ across contexts, domains, communities and time.

Should we expect drones to change the way we experience culture?

In mklab we are definitely trying to answer Yes! By collaborating with drone experts, 3D specialists and archeological sites we have set the goal of creating New 3D Cultural Worlds. The Palace of Philip II at Aigai (Vergina) is one of the most prominent archeological treasures that we are trying to capture and transform into a 3D cultural world. During April 2016, a team of drone experts from the John Moores University of Liverpool flew over the Palace of Phillip II in Aigai, so as to capture a huge volume of images that will enable the full 3D re-construction of the site.

Pottery gestures style comparison by exploiting Myo sensor and forearm anatomy

Mklab performs research for comparing the style of pottery gestures by exploiting the Myo sensor and forearm anatomy. In particular, a set of Electromyogram (EMG) based features such as muscles total pressure, flexors pressure, tensors pressure, and gesture stiffness, have been used for the purpose of identifying differences in performing the same gesture across three pottery constructions namely bowl, cylindrical vase, and spherical vase. In identifying these EMG-based features we have developed a tool for visualizing in real-time the signals generated from a Myo sensor along with the muscle activation level in 3D space.

Efficient dimensionality reduction and classification software released

We just released software (executables and sources) for our accelerated Kernel Subclass Discriminant Analysis (AKSDA) method and its combination with SVM classifiers. This is an efficient dimensionality reduction and classification method, for very high-dimensional data. AKSDA is a new GPU-accelerated, state-of-the-art C++ library (also provided as command-line executable) for supervised dimensionality reduction and classification, using multiple kernels. It greatly reduces the dimensionality of the input data, while at the same time it increases their linear separability.

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