Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
In this paper we propose a novel approach to introducing semantic relations into the bag-of-words framework. We use the latent semantic models, such as LSA and pLSA, in order to d...
We address recognition and localization of human actions in realistic scenarios. In contrast to the previous work studying human actions in controlled settings, here we train and ...
In this paper we present a user-centered design process for Active Capture systems. These systems bring together techniques from human-human direction practice, multimedia signal ...
In recent years the video event understanding is an active research topic, with many applications in surveillance, security, and multimedia search and mining. In this paper we foc...