Feature Coding via Vector Difference for Image Classification
文献类型：会议论文
| 作者 | Zhao, Xin ; Yu, Yinan; Huang, Yongzhen; Huang, Kaiqi; Tan, Tieniu
|
| 出版日期 | 2012 |
| 会议日期 | 2012 |
| 会议地点 | USA |
| 关键词 | Image Classification Feature Coding Vector Difference Additive Kernel |
| 英文摘要 | 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. |
| 会议录 | IEEE
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12732]  |
| 专题 | 自动化研究所_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]. 见:. USA. 2012. |
入库方式： OAI收割
来源：自动化研究所
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