Character Network Visualization demo

Please click here for a demo of character network visualizations for movies.  Each movie is represented by an interactive 3D graph that shows characters as nodes and dialogs as edges.

Gender-based media content statistics - sample movies

 

This demo website shows precomputed results from our system that can process full movies to estimate gender-specific (i) On-screen time, (ii) Speaking time, (iii) Speaking characters, and (iv) Dialogs. Our system performs an automatic content analyses from audio, video and text in movies to estimate these statistics.

Media content analysis demo

We are working on movies to automatically extract a variety of information. In the demo video, you'll see a clip from the movie Good Deeds, where we detect characters' faces, identify their gender (notice the color of the bounding box), detect whether they are speaking or not (a dot appears when a person speaks), and even recognize one speaker from another.

Emotion In Music

MICA participated in the MediaEval2014 challenge in two subtasks:

Emotion In Music
Kumar et al., "Affective feature design and predicting continuous affective dimensions from music", MediaEval, Nov 2014.

Crowdsourcing for Social Media.
Kumar and Narayanan, "Detection of musical event drop from crowdsourced annotations using a noisy channel model", MediaEval, Nov 2014.