Indoor Scene Classification Based on the Bag-of-Words Model of Local Feature Information Gain

Rong WANG  Zhiliang WANG  Xirong MA  

IEICE TRANSACTIONS on Information and Systems   Vol.E96-D   No.4   pp.984-987
Publication Date: 2013/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E96.D.984
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
information gain,  Bag-of-Words model,  indoor scene classification,  visual attention,  

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For the problem of Indoor Home Scene Classification, this paper proposes the BOW Model of Local Feature Information Gain. The experimental results show that not only the performance is improved but also the computation is reduced. Consequently this method out performs the state-of-the-art approach.