BACKGROUND Alaska Native people have nearly twice the rate of colorectal cancer (CRC) incidence and mortality as the US White population. OBJECTIVE Building upon storytelling as a culturally respectful way to share information among Alaska Native people, a 25-minute telenovela-style movie, What's the Big Deal?, was developed to increase CRC screening awareness and knowledge, role-model CRC co...

In this paper, we describe our prototype system for movie editing on an augmented desk. We aim to enable a user to edit a movie in an intuitive operation using both hands. In the current prototype system, a user can make a movie by editing a sequence of pictures. We introduce some hand gestures in the current system and then propose other hand gestures which would be implemented in the future.

Leveraging historical data from the movie industry, this study built a predictive model for movie success, deviating from past studies by predicting profit (as opposed to revenue) at early stages of production (as opposed to just prior to release) to increase investor certainty. Our work derived several groups of novel features for each movie, based on the cast and collaboration network (who’),...

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 paper addresses the problem of synchronizing movie subtitles, which is necessary to improve alignment quality when building a parallel corpus out of translated subtitles. In particular, synchronization is done on the basis of aligned anchor points. Previous studies have shown that cognate filters are useful for the identification of such points. However, this restricts the approach to rela...

the visual content of movies is essential for annotation. We present the interactive and adaptive i-Notation system, which describes actors’ names, automatically processes multimodal information sources, and deals with available sources’ varying quality. It provides the basis for intelligent interaction and demonstrates significant improvements in annotation efficiency. W ith the advance of dig...