This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Unlike most Super-Resolution (SR) methods described in literature, which perform only SR reconstruction on the background of an image scene, we propose a framework that performs S...
Adam W. M. van Eekeren, Klamer Schutte, Judith Dij...
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore, the scaling factor needs to be estimated at the decoder side, such that the received (attac...
We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenes- in consum...
Alejandro Jaimes, Ana B. Benitez, Shih-Fu Chang, A...