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Feature Coding via Vector Difference for Image Classification
Zhao, Xin; Yu, Yinan; Huang, Yongzhen; Huang, Kaiqi; Tan, Tieniu
2012
会议名称Image Processing (ICIP), 2012 19th IEEE International Conference on
会议录名称IEEE
会议日期2012
会议地点USA
摘要An effective image representation is important to an image classification task. The most popular image representation framework utilizes a feature coding algorithm to encode the extracted low-level feature descriptors into a vector representation. In this paper, we analyze the recently developed feature coding methods in a general way. According to their common characteristics, we propose a new coding scheme to perform feature coding based on the vector difference in a high-dimensional space which is obtained by explicit feature maps. As we illustrate, our method has promising results with small codebook sizes and generalizes most existing coding methods in a unified form.
关键词Image Classification Feature Coding Vector Difference Additive Kernel
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12732
专题智能感知与计算研究中心
通讯作者Zhao, Xin
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Zhao, Xin,Yu, Yinan,Huang, Yongzhen,et al. Feature Coding via Vector Difference for Image Classification[C],2012.
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