In this contribution we focus on the task of automatically analyzing a speaker’s sentiment in on-line videos containing movie reviews. In addition to textual information, we consider adding audio features as typically used in speech-based emotion recognition as well as video features encoding valuable valence information conveyed by the speaker. We combine this multi-modal experimental setup wi...

Movie is a kind of complex video with rich content. The analysis of movie is more complicated than other types of videos like surveillance, sport games, and documentaries. In this paper, a statistical approach using hidden Markov model to classify movie scenes is proposed. Two important kinds of movie scenes, dialogue and fighting scenes, are classified. Color and motion features are extracted ...

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...

Sentiment analysis is a kind of text classification that classifies texts based on the sentimental orientation (SO) of opinions they contain. Sentiment analysis of product reviews has recently become very popular in text mining and computational linguistics research. The following example provides an overall idea of the challenge. The sentences below are extracted from a movie review on the Int...

This paper explores utilization of information from social networks in making automatic movie recommendations. Implementations of three different algorithms (SVM, Clustering, and Ranking SVM) are implemented and evaluated. The general approach utilizes a large collection of Facebook profile information as training set in order to generate a list of movie recommendations for a particular user (c...

This final project studied the analysis of moral values in “Justice Leagu” Movie. research focused mainly on found movie. The objectives study were (1) to find out Justice League Movie, (2) explore reflected main character Movie.The design was descriptive qualitative research. object script instruments data from discussions prior chapters are be summarized achieve purpose study. First, being th...

This study employed content analysis to investigate the attributes of comments on official movie weblogs (blogs), and the possible influences of these attributes on the consumers or companies of the blog. The analysis of 1500 comments on official movie blogs indicated that subjective comments allow the blog companies to recognize consumer attitudes toward movies. Emotional comments positively i...

Processing entire movies and taking advantage of the inter-frame redundancy is the key of shape-from-motion analysis. Thus, recovering the depth of a xed scene from an image sequence can be viewed as a movie processing problem : how to focus the redundant depth information of a noisy image sequence into a perfect depth-coherent movie ? We present a natural set of axioms in agreement with the de...