1,715 research outputs found

    The FĂ­schlĂĄr-News-Stories system: personalised access to an archive of TV news

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    The “Físchlár” systems are a family of tools for capturing, analysis, indexing, browsing, searching and summarisation of digital video information. Físchlár-News-Stories, described in this paper, is one of those systems, and provides access to a growing archive of broadcast TV news. Físchlár-News-Stories has several notable features including the fact that it automatically records TV news and segments a broadcast news program into stories, eliminating advertisements and credits at the start/end of the broadcast. Físchlár-News-Stories supports access to individual stories via calendar lookup, text search through closed captions, automatically-generated links between related stories, and personalised access using a personalisation and recommender system based on collaborative filtering. Access to individual news stories is supported either by browsing keyframes with synchronised closed captions, or by playback of the recorded video. One strength of the Físchlár-News-Stories system is that it is actually used, in practice, daily, to access news. Several aspects of the Físchlár systems have been published before, bit in this paper we give a summary of the Físchlár-News-Stories system in operation by following a scenario in which it is used and also outlining how the underlying system realises the functions it offers

    CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

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    Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

    Solutions to Detect and Analyze Online Radicalization : A Survey

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    Online Radicalization (also called Cyber-Terrorism or Extremism or Cyber-Racism or Cyber- Hate) is widespread and has become a major and growing concern to the society, governments and law enforcement agencies around the world. Research shows that various platforms on the Internet (low barrier to publish content, allows anonymity, provides exposure to millions of users and a potential of a very quick and widespread diffusion of message) such as YouTube (a popular video sharing website), Twitter (an online micro-blogging service), Facebook (a popular social networking website), online discussion forums and blogosphere are being misused for malicious intent. Such platforms are being used to form hate groups, racist communities, spread extremist agenda, incite anger or violence, promote radicalization, recruit members and create virtual organi- zations and communities. Automatic detection of online radicalization is a technically challenging problem because of the vast amount of the data, unstructured and noisy user-generated content, dynamically changing content and adversary behavior. There are several solutions proposed in the literature aiming to combat and counter cyber-hate and cyber-extremism. In this survey, we review solutions to detect and analyze online radicalization. We review 40 papers published at 12 venues from June 2003 to November 2011. We present a novel classification scheme to classify these papers. We analyze these techniques, perform trend analysis, discuss limitations of existing techniques and find out research gaps

    Using Data Mining for Predicting Relationships between Online Question Theme and Final Grade

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    As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students\u27 learning experiences is a critical step forward. The adoption of EDM by higher education as an analytical and decision making tool is offering new opportunities to exploit the untapped data generated by various student information systems (SIS) and learning management systems (LMS). This paper describes a hybrid approach which uses EDM and regression analysis to analyse live video streaming (LVS) students\u27 online learning behaviours and their performance in their courses. Students\u27 participation and login frequency, as well as the number of chat messages and questions that they submit to their instructors, were analysed, along with students\u27 final grades. Results of the study show a considerable variability in students\u27 questions and chat messages. Unlike previous studies, this study suggests no correlation between students\u27 number of questions/chat messages/login times and students\u27 success. However, our case study reveals that combining EDM with traditional statistical analysis provides a strong and coherent analytical framework capable of enabling a deeper and richer understanding of students\u27 learning behaviours and experiences

    Streaming Unauthorised Copyrighted Content: Copyright Liability of Streaming Platforms and Streaming Box Distributors. A Comparative EU-US-SA Perspective

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    This thesis examines the liability for copyright infringement of streaming platforms and streaming box distributors in the EU, U.S. and in South Africa. As there have been no reported cases in South Africa in which copyright holders have instituted legal proceedings concerning copyright infringement against streaming platforms or streaming box distributors, this thesis analyses and compares the legal context in the EU and the U.S., in order to develop an appropriate approach for lawmakers and courts in South Africa regarding this issue. It concludes that the approach of the European Court of Justice with regard to the communication to the public right leads to legal uncertainty and should not be followed. Instead, it is suggested that South Africa implements into its Copyright Act of 1978 parts of the U.S. approach in terms of secondary liability. Furthermore, the lawmaker should revise the safe harbour provisions in the Electronic Communications and Transactions Act of 2002

    FACEBOOK for CoP of Researchers: Identifying the Needs and Evaluating the Compatibility

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    Communities of practice (CoPs) are increasingly capturing the interest of many fields such as business companies, education and organizations. Many CoPs were developed for people who have common interest in healthcare, agriculture and environment, and teaching. However, there is lack of COPs dedicated for researchers. This research aims to explore the appropriateness of Facebook (FB) as a platform for serving a CoP of researchers. To achieve this goal, first we identify the needs of CoPs for researchers within UAE context. Consequently, we adopted qualitative research approach to elicit the needs. We applied the grounded theory method to analyze the data. The results of the analysis showed seven main needs: collaboration, debating, awareness/ notification, reference management, cross search, customization, tracking, and user orientation. Secondly, we evaluated the compatibility of FB features to the identified needs. Although we found that FB covers most of CoPs needs, there are few needs which are not met successfully so this raised some technical and practical issues, which have been highlighted in the paper
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