Nonparametric Bayesian attentive video analysis

We address the problem of object-based visual attention from a Bayesian standpoint. We contend with the issue of joint segmentation and saliency computation suitable to provide a sound basis for dealing with higher level information related to objects present in dynamic scene. To this end we propose a framework relying on nonparametric Bayesian techniques, namely variational inference on a mixture of Dirichlet processes.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Giuseppe Boccignone
• Keywords: Bayesian Standpoint, Computer Vision, ICPR 2008, Nonparametric Bayesian Techniques, Object-based Visual Attention