Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
Many applications require detecting structural changes in a scene over a period of time. Comparing intensity values of successive images is not effective as such changes don'...
Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques,...
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
The problem we address in this paper is the role of context in the interpretation of images when pictures are used as queries. An image usually depicts several objects and is open...