VDictionary: Automatically generate visual dictionary via wikimedias

Abstract

This paper presents a novel system to automatically generate visual explanation by exploiting the visual information in Wikimedia Commons and the automatic image labeling techniques. Sample images and the sub object based training data are obtained from Wikimedia Commons. Then propose an image labeling algorithm to extract salient semantic sub object. Each sub object is assigned to a semantic label. In this way, different semantic-level visual references are provided in our system. © 2010 Springer-Verlag Berlin Heidelberg.