The purpose of this study has been to develop a user centered program format for a future mobile TV service. The work has focused on user centered research methods to gather sufficient data from users. Methods used have been: survey questionnaire, focus groups with users, and seven exploratory interviews with experts on mobile TV. Scenarios and schematics have been used in designing of concept....

Since the TV program making language TVML was first proposed in 1996, significant progress has been made in researching and developing a robust system for automatically producing TV programs on a computer. TVML is a special language that can describe every aspect of TV programs. When a script written in TVML is read by software called TVML Player, the TV program described by the language is gen...

Recommender systems for TV program have been studied for the realization of personalized TV Electronic Program Guides. In this paper, we propose automatic emotion Arabic speech recognition in order to achieve an intelligent remote control. In addition, the TV can estimate our interests and preferences by observing our behavior to watch and have a conversation on topics that might be interesting...

This chapter presents the recommendation techniques applied in Personal Program Guide (PPG). This is a system generating personalized Electronic Program Guides for Digital TV. The PPG manages a user model that stores the estimates of the individual user’s preferences for TV program categories. This model results from the integration of different preference acquisition modules that handle explic...

This paper presents the results of a first user evaluation of the Augmented Virtual TV prototype designed to augment the TV program experience. It gives the user the possibility to apply the information learned in a traditional TV program in a PC based application using a game format, which is closely connected to the topics featured in the broadcasted TV program. In this paper, we present the ...

We introduce an interactive TV program production system for the coming digital TV era. To realize interactive TV program, we deploy software agents. In this article, we model the interactions in DTV and propose a scenario description language which can handle software agents and event. Finally, we implement our prototype system and produce a networked quiz show.

Digital Video Recorders (DVRs) as innovative media technology are expected to have a major impact on the TV industry. This paper analyzes the impact of DVRs on the business model of Ad-TV program providers. It introduces the approach of program choice models which are well established in the media economics literature and enhances the traditional program choice models by taking into account dif...

Notwithstanding the success of collaborative filtering algorithms for item recommendation there are still situations in which there is a need for content-based recommendation, especially in new-item scenarios, e.g. in streaming broadcasting. Since video content is hard to analyze we use documents describing the videos to compute item similarities. We do not use the descriptions directly, but us...