Vasileios Mezaris
Electrical and Computer Engineer, Ph.D.
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2017 - present "EMMA: Enriching market solutions for content management and publishing with state of the art multimedia analysis techniques", H2020 IA, 2017-2018. (Scientific Responsible)
EMMA will transfer state-of-the-art technology in multimedia analysis from the labs to creative industry SMEs, more specifically to solution providers for the media management, branding, marketing and communication. This new technology will enhance existing commercial services, helping SMEs that are active in these sectors to solve current needs of their customers, and thus become more competitive in their market. EMMA focuses on two application areas, tourism and events, addressing the needs of destinations, and events to better drive, connect and engage with audiences. The impact in these vertical markets is huge, since both are among the key industries in Europe. [Project Web site]
2016 - present "MOVING: Training towards a society of data-savvy information professionals to enable open leadership innovation", H2020 RIA, 2016-2019. (project's Coordinator & Scientific Responsible)
MOVING is an innovative training platform that enables users from all societal sectors to fundamentally improve their information literacy by training how to use, choose, reflect and evaluate data mining methods in connection with their daily research tasks and to become data-savvy information professionals. The platform provides users with technical support as well as social advice and learning input to organise, filter and exploit information in a more efficient and sustainable way. Thus, it tackles the core challenges of the knowledge society: managing large amounts of information in a professional way, and training users to understand, use and develop data mining strategies. [Project Web site]
2016 - present "InVID: In Video Veritas - Verification of Social Media Video Content for the News Industry", H2020 ICT IA, 2016-2018. (project's Coordinator & Scientific Responsible)
The digital media revolution is bringing breaking news to online video platforms; and, news organisations delivering information by Web streams and TV broadcast often rely on user-generated recordings of breaking and developing news events shared by social media to illustrate the story. However, in video there is also deception. Access to increasingly sophisticated editing and content management tools, and the ease in which fake information spreads in electronic networks requires reputable news outlets to carefully verify third-party content before publishing it. InVID will build a platform providing services to detect, authenticate and check the reliability and accuracy of newsworthy video files and video content spread via social media. [Project Web site]
2013 - 2016 "ForgetIT: Concise Preservation by combining Managed Forgetting and Contextualized Remembering", FP7 ICT IP, 2013-2016. (Scientific Responsible & project's Research Manager)
ForgetIT addresses current challenges in the area of multimedia preservation, in the personal and organizational context, by introducing three new concepts: i) Managed Forgetting, which is inspired by the important role of forgetting in human memory; ii) Synergetic Preservation, which crosses the chasm between active information use and preservation management; iii) Contextualized Remembering, which aims at keeping preserved content meaningful and useful along time. To achieve these goals, ForgetIT brings together a truly interdisciplinary team of experts. [Project Web site]
2011 - 2015 "LinkedTV: Television Linked To The Web", FP7 ICT IP, 2011-2015. (Scientific Responsible)
TV and the Internet are going through an exciting phase of convergence, with TV being delivered on-demand via the Web while access to Web content is ever more a part of the TV experience. The LinkedTV project will bring this convergence to its fulfillment, neatly interweaving TV and Web content into a single, integrated experience. To achieve this ambitious goal, LinkedTV will develop several technologies and tools to analyze and annotate audio-visual content, interlink parts of the content with other content, deliver this enriched audio-visual content via different networks to the end user and provide intuitive user interfaces on the end device to allow easy access to and browsing of related content within the program. [Project Web site]
2012 - 2014 "MediaMixer: Community set-up and networking for the remixing of online media fragments", FP7 ICT CSA, 2012-2014. (Scientific Responsible)
MediaMixer will set up and sustain a community of video producers, hosters and redistributors who will be supported in the adoption of semantic multimedia technology in order to build an European market for media fragment re-purposing and re-selling. It will demonstrate the achievable benefits enabled by the creation, repurposing and reuse of digital contents across borders on the Web, where media fragments are intelligent digital objects, identified and classified at a highly granular degree, integrated with knowledge management, and connected at Web-scale. [Project Web site]
2009 - 2012 "GLOCAL: Event-based Retrieval of Networked Media", FP7 ICT IP, 2009-2012. (Scientific Responsible)
The key idea underlying GLOCAL is to use events as the primary means to organize and index media, e.g., photos, videos, journal articles. Instead of starting from media and seeing, a posteriori, how we can meaningfully understand their contents (e.g., by tagging them), we organize a priori our data and knowledge in terms of events and use media to populate them, thus providing their experiential dimension. Events provide the common framework inside which the local experience-driven contextual information can be not only coded, but also shared and reduced to a common denominator. [Project Web site]
2007 - 2010 "Vidi-video: Interactive semantic video search with a large thesaurus of machine-learned audio-visual concepts", FP6 IST STREP, 2007-2010.
The VIDI-Video project aims to integrate and develop state of the art components from machine learning, audio event detection, video processing, interaction and visualization into a fully implemented audio-visual search engine combining large number of categories and exploiting the interclass similarities as well as using the information from different sources: metadata, keyword annotations, audio visual data, speech, and explicit knowledge.
2007 - 2008 "K-Space: Knowledge Space of Semantic Inference for Automatic Annotation and Retrieval of Multimedia Content", FP6 IST NoE, 2006-2008.
2006 - 2009 "MESH: Multimedia Semantic Syndication for Enhanced News Services", FP6 IST IP, 2006-2009.
2006 - 2008 "DELTIO: Analysis of Multimedia Content using Evolutionary Ontologies and Application to Television News Bulletins", GSRT 2006-2008.
2006 - 2008 "COST292: Semantic Multimodal Analysis of Digital Media", European Cooperation in the Field of Scientific and Technical Research, 2004-2008.
2005 - 2007 "Knowledge-assisted analysis of medical image and video for doctor decision support applications", GSRT, Slovenia - Greece, 2005-2007.
2004 - 2006 "aceMedia: Integrating knowledge, semantics and content for user centred intelligent media services", FP6 IST IP, 2004-2007.
2004 - 2006 "CIRCE: Content-Based and Semantic Multimedia Indexing and Retrieval in Collaborative Environments", GSRT, Hungary - Greece, 2004-2006.
2003 - 2004 "COST 276: Information and Knowledge Management for Integrated Media Communication", 2001-2005.
2002 - 2005 "SCHEMA: Network of Excellence in Content-Based Semantic Scene Analysis and Information Retrieval", DG XIII, IST, 2002-2005.
2001 - 2002 "COST 211 quat: Coding of video signals in multimedia services", 1998-2002.
2001 ISTORAMA: "Content-Based Image Search over the Internet", (GSRT-PAVET, 1999-2001).

© 2015 Vasileios Mezaris