User
Short Bio
Dr Nixon is Assistant Professor in the New Media Technology group at the MODUL University Vienna since 1st June 2014. He is active in research, teaching and academic support.
He is currently project coordinator of the EU Horizon 2020 project ReTV (www.retv-project.eu), where a TV Intelligence platform is being built that analyses TV content, predicts its future popularity and helps media organisations to optimally repurpose content and recommend its publication on different online channels. He also coordinates the FFG project EPOCH (extracting and predicting events from online communication; www.epoch-project.eu) and participates in the BMVIT project EcoMove (prediction of urban mobility bottlenecks; www.ecomove.at).
Previously he was active in the EU projects InVID (finding and verifying fake news video on social networks; www.invid-project.eu) and LinkedTV (identifying topics of TV programming and linking them to related Web content on a second screen; www.linkedtv.eu).
- MBA specialisation module "Media Asset Management and Utilisation"
- PhD course "Knowledge Extraction and Verification from News and Social Media"
- MSc course "Search Engine Optimisation and Search Engine Marketing"
- BBA/BSc courses on New Media and E-Business Applications, Marketing Intelligence, Social Media Marketing and Planning
Dr Nixon welcomes thesis and research project proposals around any of the above topics!
Research Interests
His research domain is the analysis and description of online media and the use of this description in the organisation and presentation of media assets, with a focus on enhancing media value for tourism organisations ("Visual Destination Image"), newsrooms and journalists (video verification), and for broadcasters (Linked Television, TV Intelligence).
Projects
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EPOCH - Extracting and Predicting Events from Online Communication and Hybrid Datasets
EPOCH will measure the effects on statistical indicators of events being reported in the news and social media. Innovatively, it will use the measured effects of now past events to predict the future changes expected due to future events detected in the public dialogue. Through the EPOCH dashboard, organizations can identify and thus better prepare for these changes, adapting their communications, marketing and resources accordingly. This will be demonstrated in the domains of purchase price forecasting and public relations.
Organisations: MODUL University Vienna, Department of New Media Technology, Department of Sustainability, Governance, and Methods
Author: Lyndon Nixon, Sabine Sedlacek, Ivo Ponocny, Adrian Brasoveanu, Jakob Steixner
Date: 01.01.2019 - 31.12.2021
Managed By: Modul Technology GmbH
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ReTV - Enhancing and Repurposing TV Content for Trans-Vector Engagement
ReTV aims to provide broadcasters and content distributors with technologies and insights to leverage the converging digital media landscape. By advancing the state of the art in the analysis of this media landscape and providing novel methods to dynamically re-purpose content for an array of media vectors (= all relevant digital channels), a Trans-Vector Platform (TVP) will provide these stakeholders with the ability to "publish to all media vectors with the effort of one". It will empower broadcasters and brands to measure and predict the success of their content and advertisments in terms of reach and audience engagement across vectors.
Organisations: MODUL University Vienna, Department of New Media Technology, Modul Technology GmbH
Author: Lyndon Nixon, Adrian Brasoveanu, Jakob Steixner, Adriana Bassani, Pavel Filippov
Date: 01.01.2018 - 31.12.2020
Managed By: Modul Technology GmbH
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EcoMove
EcoMove will develop new knowledge-based solutions for the efficient and environmentally sustainable movement of users in cities. This will be achieved by providing customised information about available mobility options in real time. Recommendations for delaying, avoiding or taking alternative mobilty options will be presented visually to the users - city inhabitants, visitors, and professional stakeholders - for the purpose of prioritizing "necessary" mobility. Vienna will be the city test case; the developed methods will be generic and the data collection will cover the entirety of Austria so that an extended application of the solutions to other regions as part of future projects will also be possible.
Organisations: MODUL University Vienna, Department of New Media Technology, Department of Tourism and Service Management
Author: Lyndon Nixon, Astrid Dickinger, Sabine Sedlacek
Date: 01.07.2018 - 30.06.2020
Managed By: MODUL University Vienna
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InVID – In Video Veritas
In video veritas, if we divert the old Latin saying: In video, there is truth! The digital media revolution and the convergence of social media with broadband wired and wireless connectivity are 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, reducing their ability to break news quickly while increasing costs in times of tight budgets. 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. This platform will enable novel newsroom applications for broadcasters, news agencies, web pure-players, newspapers and publishers to integrate social media content into their news output without struggling to know if they can trust the material or how they can reach the user to ask permission for re-use. It will ensure that verified and rights-cleared video content is readily available for integration into breaking and developing news reports. Validated by real customer pilots, InVID will help protecting the news industry from distributing fakes, falsehoods, lost reputation and … lawsuits.
Organisations: Modul Technology GmbH
Author: Lyndon Nixon
Date: 01.01.2016 - 31.12.2018
Managed By: Modul Technology GmbH
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MediaMixer
The main rationale of MediaMixer is to set up and sustain a community of video producers, hosters, and redistributors who will be supported in the adoption of semantic multimedia technology in their systems and workflows to build a European market for media fragment re-purposing and re-selling. While we have already established, traditional markets for complete videos, e.g. in stock footage portals, media libraries or TV archives, where entire videos may be found and also purchased for re-use in new media production situations, these markets do not permit the easy purchase or sale of smaller fragments of AV materials.The MediaMixer CA will address this deficit by showing the vision of a media fragment market (the MediaMixer) to the European media production, library, TV archive, news production, e-learning and UGC portal industries. We 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. The objective of MediaMixer is to set up and sustain a community of video producers, hosters, and redistributors who will be supported in the adoption of semantic multimedia technology in their systems and workflows to build a European market for media fragment re-purposing and reselling. Networking with the community will ensure that research results and technology development truly meets the industry requirements and reflects real world use cases. Demonstrators in media production, news reporting and e-learning will highlight the technology value, with a wider impact achieved through the support of media industry experts and associations to present these results to their members. A number of events will be organised to network the industry members with the research experts of MediaMixer and facilitate technology transfer (by information days and training), and an online portal will drive the geographically distributed community and act as a central access point to tools, materials, use cases, demos and presentations.
Organisations: MODUL University Vienna, Department of New Media Technology
Author: Lyndon Nixon
Date: 01.11.2012 - 30.04.2014
Managed By: Department of New Media Technology
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LinkedTV
The project is an integrated and practical approach towards experiencing Networked Media in the Future Internet. The Web’s original success was the underlying hypertext paradigm built into HTML. Hypermedia has been pursued for quite a while as an extension of the hypertext approach towards video information. But it needs complex video analysis algorithms and is still an issue of research. Television Linked To The Web (LinkedTV) provides a novel practical approach to Future Networked Media. It is based on four phases: annotation, interlinking, search, and usage (including personalization, filtering, etc.). The result will make Networked Media more useful and valuable, and it will open completely new areas of application for Multimedia information on the Web. After 42 months of research and development completed by 12 partners across Europe, the LinkedTV project has produced services, tools and documents, enabling a new generation of TV applications. From the beginning, the project aimed at making the vision of Linked Television become reality. Linked Television is the seamless interweaving of TV and Web content into a single, integrated experience. It is watching the news and getting background information on the stories; it is seeing a painting in a TV programme and identifying the artist and the museum where it hangs. LinkedTV is making this possible and cost-effective for content owners and broadcasters by offering a Platform, which handles the complete end-to-end workflow of video analysis and enrichment as well as personalising to each viewer. The innovative technology identifies the concepts and topics in the TV programme, as well as selecting the most appropriate information and content to present for each concept and topic. Manual curation checks and complements the accuracy of the automated services. Dedicated client applications can be built retrieving the programme enrichments from the Platform, eased by using LinkedTV’s developer toolkit to handle presentation on and synchronisation across screens and devices. The LinkedTV technology is based on research results that extended the state-of-the-art in many areas. New algorithms and methods for automatic decomposition of audiovisual content, the association of content segments with objects and scene labels, text and audio analysis and event and instance-based labelling of content segments have been developed to provide annotations on fragment level. The annotated media fragments are further enhanced by methods of named entitiy recognition and enriched with additional content discovered by Web mining approaches. Research on personalisation and contextualisation resulted in technologies that ensure the relevance of the enrichments for the consumer. With several in-depth user studies the project gathered valuable insights on the interests of TV consumers. This knowledge and also the acquired experience in tool development and platform management are exploited by LinkedTV partners in future projects and consultancy offers. Research results, knowledge and the LinkedTV technology were already successfully shown at events like IFA and IBC and will be further disseminated in future publications, at conferences and workshops, industry events and exhibitions.
Organisations: MODUL University Vienna, Department of New Media Technology
Author: Lyndon Nixon
Date: 01.10.2013 - 31.03.2015
Managed By: MODUL University Vienna
Research Output
- 2019
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"Multimodal Video Annotation for Retrieval and Discovery of Newsworthy Video in a News Verification Scenario"2019
Author(s): Lyndon Nixon, Lambis Apostolidis, Vasileios Mezaris
Publication date: 1. 2019
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"The impact of visual social media on the projected image of a destination: the case of Mexico City on Instagram"2019
Author(s): Lyndon Nixon, Denis Bernkopf
Publication date: 1. 2019
- 2018
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"The Impact of Social Media on perceived Destination Image: the case of Mexico City on Instagram"2018
This presentation considers if, and to what extent, social media can change the viewer’s image of a tourism destination as well as which types of visual content are most effective. The results from an online survey, which compared three different test groups and their image of Mexico City, showed that UGC images from Instagram, as well as random Google images, were more effective at improving destination image than UGC images reposted by a DMO. Additionally, the study used image annotation to determine which features in images were most important in terms of their contribution to an improvement in overall destination image.
Author(s): Lyndon Nixon
Publication date: 11. 10. 2018
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"StoryLens: A Multiple Views Corpus for Location and Event Detection"2018
The news media landscape tends to focus on long-running narratives. Correctly processing new information, therefore, requires considering multiple lenses when analyzing media content. Traditionally it would have been considered sufficient to extract the topics or entities contained in a text in order to classify it, but today it is important to also look at more sophisticated annotations related to fine-grained geolocation, events, stories and the relations between them. In order to leverage such lenses we propose a new corpus that offers a diverse set of annotations over texts collected from multiple media sources. We also showcase the framework used for creating the corpus, as well as how the information from the various lenses can be used in order to support different use cases in the EU project InVID for verifying the veracity of online video.
Author(s): Lyndon Nixon, Adrian Brasoveanu
Publication date: 27. 6. 2018
Publisher: ACM Digital Library
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"Framing Named Entity Linking Error Types"2018
Author(s): Adrian Brasoveanu, Giuseppe Rizzo, Philip Kuntschik, Albert Weichselbraun, Lyndon Nixon
Publication date: 2018
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