A. L. Narasimha Reddy IBM Almaden Research Center 650 Harry Road San Jose, CA 95120. [email protected] Abstract In this paper, we will address the problem of distributing and scheduling movies on a multiprocessor video server. We will also address the issue of scheduling communication over the multiprocessor switch for the playback of the scheduled movies. A solution is proposed in this pap...

$%675$&7 Transfer of knowledge is important in learning environments. Especially virtual tutors have difficulties in reading what is on students’ minds. In this exploratory experiment participants’ brain and heart signals were measured during the playback of a movie to predict possible loss of attention. The movie contained an actor explaining a task. Participants were divided into two groups: ...

Hemodynamic activity in occipital, temporal, and parietal cortical areas were recently shown to correlate across subjects during viewing of a 30-minute movie clip. However, most of the frontal cortex lacked between-subject correlations. Here we presented 12 healthy naïve volunteers with the first 72 minutes of a movie ("Crash", 2005, Lions Gate Films) outside of the fMRI scanner to involve the ...

Using box-office data for all movies released between 1982 and 2000, I test the implications of a simple model of social learning in which the consumption decisions of individuals depend on information they receive from their peers. The model predicts different box office sales dynamics depending on whether opening weekend demand is higher or lower than expected. I use a unique feature of the m...

OBJECTIVE To assess whether, as has been hypothesised since medieval times, acute fear can curdle blood. DESIGN Crossover trial. SETTING Main meeting room of Leiden University's Department of Clinical Epidemiology, the Netherlands, converted to a makeshift cinema. PARTICIPANTS 24 healthy volunteers aged ≤30 years recruited among students, alumni, and employees of the Leiden University Med...

This paper presents INTIMATE, a web-based movie recommender that makes suggestions by using text categorization to learn from movie synopses The performance of various feature representations, feature selectors, feature weighting mechanisms and classifiers is evaluated and discussed. INTIMATE was also compared with a feature-based movie recommender. The results show that the text-based approach...

A continuity script describes very carefully the content of a movie shot by shot. This paper introduces a framework for extracting structural units such as shots, scenes, actions and dialogs from the script, and aligning them to the movie based on the longest matching subsequence between them. We present experimental results and applications of the framework with a full-length movie and discuss...

The Internet Movie Database (IMDB) is one of the largest online resources for general movie information combined with a forum in which users can rate movies. We investigate the extent to which a movie’s average user rating can be predicted after learning the relationship between the rating and a movie’s various attributes from a training set. Two methods are evaluated: kernel regression and mod...