This article discusses content-based access to video information in large video databases and particularly, to retrieve animated movies. The authors examine temporal segmentation, and propose cut, fade and dissolve detection methods adapted to the constraints of this domain. Further, the authors discuss a fuzzy linguistic approach for deriving automatic symbolic/semantic content annotation in t...

People flexibly draw generalizations from others’ choices. For example, when one learns that a friend likes a set of movies within a particular genre, one might also infer that said friend would also like novel movies with similar features. The present project uses a Church implementation of mixed multinomial logit (MML) models to capture how people learn and generalize from other people’s pref...

We started the project by selecting the movies on which our subjects were to place a value. We picked 30 movies produced after 1990 from the “TOP 250” list posted by a leading website (imdb.com) with the duration of each movie being between 100 and 125 minutes. We developed a web-based pilot survey showing the title, genre, year of premiere, short description, and trailer of each production. Ou...

In the movie industry habit, the demand of exploitation windows next to theatres is usually related to the success in cinemas, which is assumed to orient subsequent consumption among audience. Using a data base made of 1035 movies broadcast in peak time by the six main Italian networks during the period 1993-2002, we regress movies’ tv audience outcome on several independent variables as the at...

Movie ratings play an important role both in determining the likelihood of a potential viewer to watch the movie and in reflecting the current viewer satisfaction with the movie. They are available in several sources like the television guide, best-selling reference books, newspaper columns, and television programs. Furthermore, movie ratings are crucial for recommendation engines that track th...

Movie producers and exhibitors make various decisions requiring an understanding of moviegoer’s preferences at the local level. Two examples of such decisions are exhibitors’ allocation of screens to movies, and producers’ allocation of advertising across different regions of the country. This study presents a predictive model of local demand for movies with two unique features. First, arguing ...

Using a sample of 24 movies I investigate narrative shifts in location, characters, and time frame that do and do not align with viewer segmentations of events (scenes and subscenes) in popular movies. Taken independently these dimensions create eight categories, seven of change and one of nonchange. Data show that the more dimensions that are changed the more viewers agree on their segmentatio...

Collaborative filtering has been most widely used in commercial sites to recommend items based on the history of user preferences for items. The idea behind this method is to find similar users whose ratings for items are incorporated to make recommendation. Hence, similarity calculation is most critical in recommendation performance. For movie recommendation, this paper enhances performance of...

Video games are part of our culture like TV, movies and books. Video games with other goals than entertainment are called: Serious Games. We believe this kind of software can be used to increase students’ interest in computer science. This paper presents a study around a serious game dedicated to strengthening programming skills. Real-Time Strategy game, which is a popular game genre, seems to ...