Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
—This paper presents a novel hybrid method for content based visual information retrieval (CBIR) that combines shape analysis of objects in image with their automatic indexing by...
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Generating realistic geometric models from 3D segmented images is an important task in many biomedical applications. Segmented 3D images impose particular challenges for meshing a...
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...