VDictionary: automatically generate visual dictionary via wikimedias

Authors:
Yanling Wu;Mei Wang;Guangda Li;Zhiping Luo;Tat-Seng Chua;Xumin Liu
Affiliations:
College of Information Engineering, Capital Normal University, Beijing, China;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;College of Information Engineering, Capital Normal University, Beijing, China
Venue:
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Year:
2010

Citing 3
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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.