Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-11301-7_91
Title: VDictionary: Automatically generate visual dictionary via wikimedias
Authors: Wu, Y.
Wang, M.
Li, G. 
Luo, Z.
Chua, T.-S. 
Liu, X.
Issue Date: 2009
Source: Wu, Y.,Wang, M.,Li, G.,Luo, Z.,Chua, T.-S.,Liu, X. (2009). VDictionary: Automatically generate visual dictionary via wikimedias. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5916 LNCS : 796-798. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-11301-7_91
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.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40628
ISBN: 3642113001
ISSN: 03029743
DOI: 10.1007/978-3-642-11301-7_91
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