TV program structuring is essential for program indexing and retrieval. Practically, various types of programs lead to a diversity of program structures. In addition, several episodes of a recurrent program might exhibit different structures. Previous work mostly relies on supervised approaches by adopting prior knowledge about program structures. In this paper, we address the problem of unsupe...

This contribution focuses on two aspects of innovative TV services delivering a new, personalized and interactive rich media experience. The first aspect, service scalability, caters for terminal heterogeneity with respect to screen size, processing power and network connectivity. This way, it allows consuming a rich media TV service using different mobile terminals in addition to the TV set. T...

In this paper, a novel method for repeated sequence detection in an audiovisual TV broadcast is proposed. This method is required for TV broadcast macrosegmentation that is at the root of many novel services related to TV broadcast and in particular to the TV-on-Demand service. Repeated sequence detection allows inter-program detection (commercials, jingles, credits, ...), which allows the segm...

This paper describes how a user modeling knowledge base for personalized TV servers can be generated starting from an analysis of lifestyles surveys. The aim of this research is the construction of well-designed stereotypes for generating adaptive electronic program guides (EPGs) which filter the information about TV events depending on the user’s interests.

This paper describes how a user modeling knowledge base for personalized TV servers can be generated starting from an analysis of lifestyles surveys. The aim of the research is the construction of well-designed stereotypes for generating adaptive electronic program guides (EPGs) which filter the information about TV events depending on the user’s interests.