This paper presents a novel approach for searching images online using textual queries and presenting the resulting images based on both conceptual and visual similarities. Given a...
Grant Strong, Enamul Hoque, Minglun Gong, Orland H...
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Images are being produced and made available in ever increasing numbers; but how can we find images "like this one" that are of interest to us? Many different systems hav...
The aim of this work is to index images in domain specific databases using colors computed from the object of interest only, instead of the whole image. The main problem in this t...
2 Adaptive Background Model Tracking people has received considerable attention by computer vision researchers. Interest is motivated by the broad range of potential applications s...