Piracy of trademarked, copyrighted, and/or branded goods and services is a critical factor in many industries. In the movie industry, which we study here, the Motion Picture Association of America (MPAA) estimates that piracy costs US movie studios $6.1 billion in 2005, the latest year for which data are available. (www.mpaa.org) The impact of piracy is viewed as so important to the movie indus...

This paper looks into a new direction in movie clips analysis –model based ranking of highlight level. A movie clip, containing a short story, is composed of several continuous shots, which is much simpler than the whole movie. As a result, clip based analysis provides a feasible way for movie analysis and interpretation. In this paper, clip-based ranking of highlight level is proposed, where t...

This paper gives a description of the empirical study investigating the impact of promotions using Web based tools by Indian Movie production houses. Evolution of movie promotion starting with use of traditional methods for the first movie to the near dependence on social media to promote the latest movies produced in India has been chronologically presented. Critical role of web based tools an...

KDD Cup 2007 focuses on predicting aspects of movie rating behavior. We present our prediction method for Task 1 “Who Rated What in 2006” where the task is to predict which users rated which movies in 2006. We use the combination of the following predictors, listed in the order of their efficiency in the prediction: • The predicted number of ratings for each movie based on time series predictio...

The information on the web is not only published by an original language, but also expressed in many different languages. Almost recommendation systems also lack mechanisms to support users overcoming the language problem. In these systems, it is difficult to search a specific value (e.g., movie artist, movie title in movie domain) by using native language. In this paper, we present our approac...

Digital movie systems o er great perspectives for multimedia applications. But the large amounts of data involved and the demand for isochronous transmission and playback are also great challenges for the designers of a new generation of le systems, database systems, operating systems, window systems, video encoder/decoders and networks. Today's research prototypes of digital movie systems su e...

Cross-modal data retrieval has been the basis of various creative tasks performed by Arti€cial Intelligence (AI). One such highly challenging task for AI is to convert a book into its corresponding movie, which most of the creative €lm makers do as of today. In this research, we take the €rst step towards it by visualizing the content of a book using its corresponding movie visuals. Given a set...

This study examines how consumers’ interest in a new movie develops around paid and earned media in pre-launch periods, how this interest impacts opening-week revenue, and how postlaunch revenue of a movie is influenced by advertising and various earned media. The prelaunch, opening-week and post-launch worlds are structurally different and we therefore develop three separate models, two multip...

OBJECTIVE Movie smoking exposure is a strong predictor of smoking initiation by adolescents; however, we do not know whether it is a long-term predictor of established smoking. We conducted a prospective study to determine whether movie smoking exposure during early adolescence predicts established smoking in older teens and young adults. DESIGN We assessed movie smoking exposure and smoking ...

In past few years, several data-sets have been released for text and images. We present an approach to create the data-set for use in detecting and removing gender bias from text. We also include a set of challenges we have faced while creating this corpora. In this work, we have worked with movie data from Wikipedia plots and movie trailers from YouTube. Our Bollywood Movie corpus contains 400...