This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
We propose a novel method for computing a fourdimensional (4D) representation of the spatio-temporal visual hull of a dynamic scene, based on an extension of a recent provably cor...
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...