CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting
Chunjie Zhang; Jing Liu; Jinqiao Wang; Qi Tian; Changsheng Xu; Hanqing Lu; Songde Ma
2010
Conference NameAsian Conference on Computer Vision
Source Publication
Pages239-249
Conference DateNovember 8-12, 2010
Conference PlaceQueenstown, New Zealand
AbstractThe ignorance on spatial information and semantics of visual words becomes main obstacles in the bag-of-visual-words (BoW) method for image classification. To address the obstacles, we present an improved BoW representation using spatial pyramid coding (SPC) and visual word reweighting. In SPC procedure, we adopt the sparse coding technique to encode visual features with the spatial constraint. Visual features from the same spatial sub-region of images are collected to generate the visual vocabulary. Additionally, a relaxed but simple solution for semantic embedding into visual words is proposed. We relax the semantic embedding from ideal semantic correspondence to naive semantic purity of visual words, and reweight each visual word according to its semantic purity. Higher weights are given to semantically distinctive visual words, and lower weights to semantically general ones. Experiments on a public dataset demonstrate the effectiveness of the proposed method.
KeywordBag-of-visual-words (Bow) Image Classification Reweighting Spatialpyramid Coding
Indexed ByISTP
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4629
Collection模式识别国家重点实验室_图像与视频分析
Corresponding AuthorJing Liu
Recommended Citation
GB/T 7714
Chunjie Zhang,Jing Liu,Jinqiao Wang,et al. Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting[C],2010:239-249.
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