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Codebook Reconstruction with Word Correlation Feedback Mechanism
Yuhang Zhao; Zhaoxiang Zhang; Yunhong Wang
2011-08-12
会议名称International Conference on Image and Graphics
会议录名称ICIG 2011
会议日期12-15 August 2011
会议地点Hefei, China
摘要Bag of feature model has been shown to be one of the most successful methods in generic image categorization problems. However, creating codebook by clustering local feature vectors (e.g. Kmeans) may lose holistic information of images. This paper presents a novel process called Correlation Feedback for codebook construction. It introduces semantic similarities of words by measuring correlation between distributions of them within one image. Further more, we employ label propagation process to spread the affinities among all features. An enhanced codebook is constructed based on fusion of the new similarity matrix with spectral clustering. Experimental results on Caltech101 and the 15 nature scenes datasets shows promising performance of importing the novel similarity to dictionary construction.
关键词Spectral Clustering Codebook Reconstruction
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13295
专题类脑智能研究中心
通讯作者Zhaoxiang Zhang
推荐引用方式
GB/T 7714
Yuhang Zhao,Zhaoxiang Zhang,Yunhong Wang. Codebook Reconstruction with Word Correlation Feedback Mechanism[C],2011.
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