This paper describes the first speech recognition system capable of transcribing a wide range of spoken broadcast programs in Czech language with the OOV rate being below 3 per cent. To achieve that level we had to a) create an optimized 200k word vocabulary with multiple text and pronunciation forms, b) extract an appropriate language model from a 300M word text corpus and c) develop an own de...

This paper describes the Perseus project, which is devoted to developing techniques and tools for creating personalized multimedia news portals. The purpose of a personalized multimedia news portal is to provide relevant information, selected from newswire sites on the Internet and augmented by video clips automatically extracted from TV broadcasts, based on the user’s preferences. To create su...

While video content is often stored in rather large files or broadcasted in continuous streams, users are often interested in retrieving only a particular passage on a topic of interest to them. It is, therefore, necessary to split video documents or streams into shorter segments corresponding to appropriate retrieval units. We propose here a method for the automatic segmentation of TV news vid...

During a pandemic outbreak, timely and accurate information that matches the needs of public is vital to inform public. In April 2020, 977 individuals completed questionnaire measured Dutch public’s health media consumption during early stages coronavirus outbreak. Results show respondents sought about prevention contamination, (the severity of) symptoms, treatment, vaccination. News outlets, b...

Journalists have the power to enhance the visibility of certain aspects of campaign issues and, thus, are relevant mediators between political actors and citizens. To serve the public interest, news media coverage should include the views of different political camps and should enable citizens to build opinions in an enlightened way. The authors analyze journalists’ framing of the coverage of a...