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 successfully organized the 10th European Summer School on Information Retrieval

The European Summer School in Information Retrieval (ESSIR) is a scientific event founded in 1990, which has given rise to a series of Summer Schools held on a regular basis to provide high quality teaching of Information Retrieval (IR) and advanced IR topics to an audience of researchers and research students. ESSIR is typically a week-long event consisting of guest lectures and seminars from invited lecturers who are recognized experts in the field.

Successful participation of CERTH-ITI in the interactive Surveillance Event Detection task of TRECVID 2015

CERTH-ITI participated to the interactive Surveillance Event Detection (SED) task of TRECVID 2015 with the video retrieval engine VERGE. VERGE results achieved the second place, among the submissions made by all institutions participating to TRECVID 2015 SED task (runs from 4 different institutions searching for 7 events: cell to ear, embrace, object put, people meet, people split up, poining) with interactive systems. The latest version of VERGE integrates advanced retrieval functionalities including visual similarity search, object-based retrieval and visual concept-based search in a user friendly interface.

MKLab successfully participates in MediaEval 2015

MKLab had a very successful participation in the 2015 edition of the MediaEval benchmarking activity that took place in Wurzen, Germany on 14-15 September. The team participated in four tasks: Placing, Diverse Social Image Retrieval, Verifying Multimedia Use, and Synchronization of Multi-User Event Media, with the last two tasks being co-organized by members of the lab. The team achieved impressive results in two of the tasks, namely the Placing Task, in which it achieved the best performance, being the only participation to outperform the system provided by the organizers, and in the Diverse Social Image Retrieval task, where the team achieved the best performance in the single-topic queries, and the second best performance overall.

MKLab participates in the Hardware Grant Program of NVIDIA

MKLab is happy to announce that we received support from the Hardware Grant Program of the NVIDIA Corporation to continue our research (Zampoglou et al., 2015) on the field of multimedia forensics, which is currently carried out in the context of the REVEAL EC co-funded project. In particular, we are going to explore the potential of employing Deep Learning approaches on the problem of image splicing detection.    M. Zampoglou, S.

H2020 - MAMEM's website is launched

The H2020 project MAMEM, started in May 1st, 2015, aims at integrating people with disabilities back into society by endowing them with the critical skill of managing and authoring multimedia content using novel and more natural interface channels. These channels will be controlled by eye-movements and mental commands, significantly increasing the potential for communication and exchange in leisure and non-leisure context. MAMEM's website adopts a rather unconventional design with the intention to become the project's "

Corporate Social Responsibility Metrics Retrieval tool

We are making available a new demo for the extraction of Corporate Responsibility Metrics in companies. The tool, which has been developed in the context of the Wikirate project, exploits information extraction techniques to fetch articles and metrics from relevant websites concerning the corporate sustainability practices of thousands of companies. As many as 17,000 articles have been retrieved for 7,000 companies in the Human Rights domain, while 57,000 metrics were extracted regarding their Corporate Responsibility behaviour.

Workshop on Semantic Web Technologies for Video and Image Analytics, in conjunction with ISWC 2015

1st Workshop on Semantic Web Technologies for Video and Image Analytics, in conjunction with ISWC 2015, Bethlehem, Pennsylvania, October 11-15, 2015 (http://nerone.diem.unisa.it/swt4iva/) IMPORTANT DATES - Submission deadline: July 1, 2015 - Notifications: July 31, 2015 - Camera ready version: August 21, 2015 - Workshop: October 11-12, 2015 SCOPE AND MOTIVATION In the last years, a substantial body of work has focused on the development of cognitive approaches leveraging on a symbolic model representation of the objects belonging to a scene and their relations.

Dem@Care at ESWC2015 EU Project Networking Session

Dem@Care has been accepted at the EU Project Networking Session at ESWC 2015 that will take place on June 3, 2015 in Portoroz, Slovenia.    Dem@Care provides an integrated solution for personal health services to individuals with dementia, as well as medical professionals and caregivers, by using a multitude of sensors, context-aware, multi-parametric monitoring of life-style, ambient environment and health parameters. In ESWC2015, Dem@Care will present the knowledge representation and semantic reasoning features underpinning the platform, which delivers a multi-parametric monitoring framework that sustains semantic, context-aware, personalized and adaptive feedback mechanisms for the remote management of people with dementia  

MKLab collaborates in project to predict UK general election result

Researchers from Multimedia Knowledge and Social Media Analytics Laboratory collaborate with the University of Warwick and City University of London on a project where Twitter signals are leveraged to predict the outcome of the UK general election. They believe that their forecasts could be more accurate than traditional opinion polls.   Together, the team is using a framework that harvests political tweets, extracts various features about every party (e.g. volume of discussions) and then injects this information into public polling reports, producing a daily prediction of voting share.

H2020-KRISTINA launches a new website!

The H2020 project KRISTINA, started in March 1st, 2015, aims at developing a multilingual human-like socially competent agent that serves as a trusted information provision in questions related to basic care and healthcare. Read more in the new KRISTINA website here.

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.

GPU-LIBSVM

NVIDIA links Multimedia Group for the GPU-LIBSVM implementation

HR Excellence in Research

HR Excellence in Research