In spite of the rapid growth of mobile multimedia contents market, most of the customers experience inconvenience, lengthy search processes and frustration in searching for the specific multimedia contents they want. These difficulties are attributable to the current mobile Internet service method based on inefficient sequential search. To overcome these difficulties, this paper proposes a MOBI...

In this work we showcase how graph-embeddings can be used as a movie visualization and recommendation interface. The proposed low-dimensional embedding carefully preserves both local and global graph connectivity structure. The approach additionally offers: a) recommendations based on a pivot movie, b) interactive deep graph exploration of the movie connectivity graph, c) automatic movie traile...

Movie scene detection has emerged as an important problem in present day multimedia applications. Since a movie typically consists of huge amount of video data with widespread content variations, detecting a movie scene has become extremely challenging. In this paper, we propose a fast yet accurate solution for movie scene detection using Nyström approximated multisimilarity spectral clustering...

BACKGROUND Most behavioral approaches to adolescent smoking address the behavior directly. We explore an indirect approach: modifying exposure to portrayals of smoking in movies. OBJECTIVES To describe adolescents' exposure to smoking in movies and to examine factors that could modify such exposure. DESIGN Occurrences of smoking were counted in each of 601 popular movies. Four thousand nine...

Movie ratings are influenced by many factors, so accurate prediction of new movie ratings can be challenging. In recent years, various semantic analysis techniques were successfully applied to analyzing user reviews, which in turn were applied to predict IMDB movie ratings (based on IMDB reviews, youtube movie trailer reviews etc). To the best of our knowledge there has been no research done on...

Movie recommendation system represents the user’s preference for the purpose of suggesting movie. In the proposed system sentiment analysis have been aggregated with a user-based collaborative filtering to provide the accurate recommendation to user. Movie recommendation system proving rating of the reviews on the basis of the reviews of the users, by using sentiment analysis and collaborative ...

Audiovisual material accompanied by interlingual subtitles is a powerful pedagogical tool which can help improve the vocabulary learning of second-language learners. This study was intended to determine whether or not the mode (standard and reversed) of subtitling affects the incidental vocabulary acquisition of Iranian L2 learners while watching TV programs. Forty-five participants were random...