User
Short Bio
Dr Nixon is Assistant Professor in the New Media Technology group at the MODUL University Vienna since 1st June 2014. He joined the group in October 2013 and is active in research, teaching and academic support. He is workpackage leader in the EU projects InVID and ReTV. Previously he was responsible for the EU projects LinkedTV (www.linkedtv.eu) - as Scientific Coordinator - and MediaMixer (www.mediamixer.eu) - as Project Coordinator. For further information, visit his work blog
MBA specialisation module "Media Asset Management and Utilisation"
PhD course "Knowledge Extraction and Verification from News and Social Media"
Masters' Course (MSc in International Management) in Interactive Marketing
Bachelors' Courses (BBA/BSc): New Media and E-Business Applications, Marketing Intelligence, Social Media Marketing and Planning
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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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
- 2018
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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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"Assessing the usefulness of online image annotation services for destination image measurement"2018
Author(s): Lyndon Nixon
Publication date: 2018
- 2017
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"Character-based Neural Embeddings for Tweet Clustering"2017 Pages: 36-44
In this paper we show how the performance of tweet clustering can be improved by leveraging character-based neural networks. Theproposedapproachovercomes the limitations related to the vocabulary explosion in the word-based models and allows for the seamless processing of the multilingual content. Our evaluation results and code are available on-line.
Author(s): Svitlana Vakulenko, Lyndon Nixon, Mahai Lupu
Publication date: 4. 2017
Place of Publication Volume: Valencia
Publisher: Association for Computational Linguistics
Pages: 36-44
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"Impact of Destination Promotion Videos on Perceived Destination Image and Booking Intention Change"2017 Pages: 361-375
Destination promotion videos (DPVs) are increasingly being used for online marketing and seen by travellers during the information search process. Yet, scholarly attention to DPVs is scarce and the research question of “how do DPVs influence viewers’ destination image change?” is unresolved. To fill these voids, this study (1) examines the projected image of Macau based on the video content analysis of their latest DPV; and (2) investigates the impact of viewing a DPV on viewers’ perceived destination image and on their behavioural intention to visit Macau. The efficacy of repeating—a framing method introduced by Entman (1991)—in influencing change in the DPV viewers’ image of the destination is highlighted. Findings from the experiment indicate that the content of DPVs and repeating certain shots are effective in positively enhancing travellers’ perceived destination image as well as triggering potential travellers’ interest in further researching and visiting the destination.
Author(s): Daniel Leung, Astrid Dickinger, Lyndon Nixon
Publication date: 2017
Publisher: Springer Verlag
Pages: 361-375
Host publication editor(s): R. Schegg, B. Stangl
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"How Instagram influences Visual Destination Image: a case study of Jordan and Costa Rica"2017
The Social Web is increasingly taking up the daily time of consumers and is becoming a primary source of impressions about tourism destinations. The recent shift towards more visual content, as evidenced in the fast growing social network Instagram being largely a photo sharing site, means that DMOs need to consider how photos of their destinations can be influencing consumers’ destination image. We present what may be the first study on how the selection of images from a social media site (Instagram) to promote a destination can be used to influence destination image. As a basis for our study, we have selected the DMO channels of Jordan and Costa Rica in Instagram. Through focus groups and a Likert-scale survey, we draw first conclusions on which types of photos are most effective to positively promote a destination and how the consumers’ previous image of a destination could affect this
Author(s): Lyndon Nixon, Anastasia Popova, Irem Önder
Publication date: 2017
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