Adarsh Tadimari

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Computational prediction of a movie's financial success usually relies only on metadata such as - genre, budget, actors, Motion Picture Association of America (MPAA) rating and critics' reviews. We argue that movie trailers, created to invoke viewers' interest and curiosity about a movie, carry complementary information for predicting a movie's financial(More)
• Multimedia Content Analysis (Google) Methods for automatic analysis of gender bias in movies from video, audio and text modalities. An important challenge is making standard audio/ video algorithms such as diarization robust on movies. • Underwater Acoustics (ONR/NSF) Initial phase of the project involved tasks related to classification and detection of(More)
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