Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
This paper describes a supervised segmentation algorithm which draws inspiration from recent advances in non-parametric texture synthesis. A set of example images which have been ...
We show that using a nonconvex penalty term to regularize image reconstruction can substantially improve the preservation of object shapes. The commonly-used total-variation regul...
Scaling attacks are well-known to be some of the most harmful strategies against quantization-based watermarking methods, as they can completely ruin the performance of the waterm...
— We examine metrics to predict the visibility of packet losses in MPEG-2 and H.264 compressed video. We use subjective data that has a wide range of parameters, including differ...