Knowledge Commons of Institute of Automation,CAS
Robust Feature Encoding with Neighborhood Information for Image Classification | |
Bingyuan Liu; Jing Liu; Chunjie Zhang; Maolin Chen; Hanqing Lu | |
2013 | |
会议名称 | International Conference on Image and Graphics |
会议录名称 | Proceedings of the Seventh International Conference on Image and Graphics |
会议日期 | July 26-28, 2013 |
会议地点 | Qingdao, China |
摘要 | The bag of visual words (BoW) model is one of the most successful model in image classification task. However, the major problem of the BoW model lies in the determination of visual words, which consists of codebook training and feature encoding phases. The traditional K-means and hard-assignment method completely ignore the structure of the local feature space, leading to high loss of information. To alleviate the information loss, we propose to incorporate the neighborhood information of the features into the codebook training and feature encoding process. We firstly propose a model to roughly measure the influence of the distribution of the neighboring features. Then we combine the proposed model with the traditional K-means method in a probability perspective to train the visual codebook. Finally, in the feature encoding phase, both the hard-assignment and soft-assignment method are improved with the proposed neighborhood information term. We investigate our method on two popular datasets: 15-Scenes and Caltech-101. Experimental results demonstrate the effectiveness of our proposed method. |
关键词 | Image Classification Feature Encoding |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13445 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Jing Liu |
推荐引用方式 GB/T 7714 | Bingyuan Liu,Jing Liu,Chunjie Zhang,et al. Robust Feature Encoding with Neighborhood Information for Image Classification[C],2013. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
06643795.pdf(606KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论