UTCS Colloquium-Cordelia Shmid/INRIA: "Learning Visual Human Actions from Movies" TAY 3.128, Monday, April 27, 2009
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Talk: UTCS Colloquium
Speaker/Affiliation: Cordelia Sh
Date/Time: Monday, April 27, 2009 11:00 a.m.
Location: TAY 3.128
Host: Kristen Grauman
itle: "Learning Visual Human Actions from Movies"
We address the problem of recognizing natural human a
ctions in diverse and realistic video settings. This challenging but import
ant subject has mostly been ignored in the past due to several problems one
of which is the lack of realistic and annotated video datasets. Our first
contribution is to address this limitation and to investigate the use of mo
vie scripts for automatic annotation of human actions in videos. We evaluat
e alternative methods for action retrieval from scripts and show benefits o
f a text-based classifier. Using the retrieved action samples for visual le
arning, we next turn to the problem of action classification in video. We
present a new method for video classification that builds upon and extends
several recent ideas including local space-time features, space-time pyram
ids and multi-channel non-linear SVMs. Furthermore, we show how to mine re
levant context information and use it to improve action recognition. We fin
ally apply the method to learning and classifying challenging action classe
s in movies and show promising results.
This is joint work with
I. Laptev, M. Marszalek and B. Rozenfeld.
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