Sudipto Banerjee ([email protected]) received his B.S. in Statistics from the University of Calcutta, India, an M.Stat. from the Indian Statistical Institute, Calcutta, and then his M.S. and Ph.D. from the University of Connecticut, Storrs. He is currently an Assistant Professor in the University of Minnesota, Minneapolis, where his research interests include spatial statistics and model...

AIMS This study uses an experimental design to assess the effects of movie alcohol portrayal on alcohol consumption of young adults while watching a movie. Gender, weekly alcohol use and identification with the movie actor/character were assessed as moderators. DESIGN A two (sex) × two (movie: alcohol or no portrayal of alcohol) between-subject design was used. SETTING Participants watched ...

Semantic scene segmentation is a crucial step in movie video analysis and extensive research efforts have been devoted to this area. However, previous methods are heavily relying on video content itself, which are lack of objective evaluation criterion and necessary semantic link due to the semantic gap. In this paper, we propose a novel role-based approach for movie scene segmentation using sc...

This paper proposes a decision support system to aid movie investment decisions at the early stage of movie productions. The system predicts the success of a movie based on its profitability by leveraging historical data from various sources. Using social network analysis and text mining techniques, the system automatically extracts several groups of features, including “who” are on the cast, “...