An automatic human shape-motion analysis method based on a fusion architecture is proposed for human action recognition in videos. Robust shape-motion features are extracted from h...
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Automatic real-time recognition of TV commercials is an essential step for TV broadcast monitoring. It comprises two basic tasks: rapid detection of known commercials that are sto...
Yijun Li, Dianqing Zhang, Xiangmin Zhou, Jesse S. ...
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Spoken dialogue system performance can vary widely for different users, as well for the same user during different dialogues. This paper presents the design and evaluation of an a...