This paper presents two new real-time approaches to segmentation of TV news shows into topics. The goal of this research work is the high precision retrieval of topics from TV news. For that purpose, the detection of correct topic boundaries is of great importance. We introduce a stochastic and a rule-based topic model based on HMMs. The former combines features from the visual as well as from ...

The scientific interest in adolescence goes back to Plato and Aristotle. Contemporary science distinguishes early adolescence as a focal time in children’s physical, cognitive, moral, and social development as well as the beginning of a complex transition from childhood to adulthood. According to the 1995 report of the Carnegie Council on Adolescent Development, a significant number of youths i...

he growth of digital TV in UK homes has been much more rapid than the penetration of the Internet, which has itself grown at a phenomenal rate. The digital TV services started on 1 October 1998 with satellite broadcasting followed by terrestrial broadcasting on 15 November 1998 and more recently by cable services. By mid-2000, about one-and-a-half years after the start of digital services, 5 mi...

This paper describes the collect and transcription of a large set of Arabic broadcast news speech data. A total of more than 2000 hours of data was transcribed. The transcription factor for transcribing the broadcast news data has been reduced using a method such as Quick Rich Transcription (QRTR) as well as reducing the number of quality controls performed on the data. The data was collected f...

This paper explores the possible role of named entities in an automatic indexing process, based on text in subtitles. This is done by analyzing entity types, name density and name frequencies in subtitles and metadata records from different TV programs. The name density in metadata records is much higher than the name density in subtitles, and named entities with high frequencies in the subtitl...

The global diffusion of the Internet has enabled the distribution of informative content through dynamic media such as RSS feeds and video blogs. At the same time, the decreasing cost of electronic devices has increased the pervasive availability of the same informative content in the form of digital audiovisual data. This article presents a system for the large-scale unsupervised acquisition, ...

Mass media affect both who receives political information, and what information is received. This influences policy formation since politicians tend to favor informed voters and well covered issues. Politicians do so for good reasons, not only are well informed voters more likely to vote than uninformed voters,1 but also more likely to vote for the candidate who furthers their interests.2 Voter...

Commercial detection in news broadcast videos involves judicious selection of meaningful audio-visual feature combinations and efficient classifiers. And, this problem becomes much simpler if these combinations can be learned from the data. To this end, we propose an Multiple Kernel Learning based method for boosting successful kernel functions while ignoring the irrelevant ones. We adopt a int...