We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Temporal or dynamic textures (DT's) are video sequences that are spatially repetitive and temporally stationary. DT's are temporal analogs of the well known spatial stil...
A novel scheme for error-resilient digital video broadcasting, using Wyner-Ziv coding, is presented in this paper. We apply the general framework of systematic lossy source-channe...
Anne Aaron, Shantanu Rane, David Rebollo-Monedero,...
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
We describe a system for synchronization and organization of user-contributed content from live music events. We start with a set of short video clips taken at a single event by m...