Direct content analysis reveals important details about movies including those of gender representations and potential biases. We investigate the differences between male and female character depictions in movies, based on patterns of language used. Specifically, we use an automatically generated lexicon of linguistic norms characterizing gender ladenness. We use multivariate analysis to invest...

Natural language descriptions of videos provide a potentially rich and vast source of supervision. However, the highly-varied nature of language presents a major barrier to its effective use. What is needed are models that can reason over uncertainty over both videos and text. In this paper, we tackle the core task of person naming: assigning names of people in the cast to human tracks in TV vi...

With the dramatic increase in multimedia data, escalating trend of internet, and amplifying use of image/video capturing devices; content based indexing and text extraction is gaining more and more importance in research community. In the last decade, many techniques for text extraction are reported in the literature. Methodologies of text extraction from images/videos is generally comprises of...

How do we understand the experiences of characters in a movie? Similar to real life, viewers attribute mental states through process known as Theory Mind (ToM). Filmmakers commonly use Dramatic Irony, narrative device where audience knows something that at least one does not. From social neuroscience perspective, understanding cognitive mechanisms underlie dramatic irony can provide remarkable ...

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Let us consider the presentation by computers of rich, highly interactive worlds that are inhabited by dynamic and complex characters, and shaped by aesthetically pleasing stories. We shall call this interactive drama, and we believe that it requires strong characters, aesthetic presentation, and long-term dramatic structure. This paper describes an experiment designed to help us understand how...