This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
The current paper proposes a new parametric local
color correction technique. Initially, several color transfer
functions are computed from the output of the mean shift
color se...
We present a novel scheme for indexing "hot spots" in conversations, such as poster sessions, based on the reaction of the audience. Specifically, we focus on laughters ...
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...
This paper introduces a video copy detection system which efficiently matches individual frames and then verifies their spatio-temporal consistency. The approach for matching frame...