How to use Bag-of-Words model better for image classification
文献类型：期刊论文
| 作者 | Wang, Chong; Huang, Kaiqi
|
| 刊名 | IMAGE AND VISION COMPUTING
 |
| 出版日期 | 2015-06-01 |
| 卷号 | 38页码:65-74 |
| 关键词 | Image classification Bag-of-Words Visual vocabulary Coding Pooling |
| 英文摘要 | The Bag-of-Words (BoW) framework is well-known in image classification. In the framework, there are two essential steps: 1) coding, which encodes local features by a visual vocabulary, and 2) pooling, which pools over the response of all features into image representation. Many coding and pooling methods are proposed, and how to apply them better in different conditions has become a practical problem. In this paper, to better use BoW in different applications, we study the relation between many typical coding methods and two popular pooling methods. Specifically, complete combinations of coding and pooling are evaluated based on an extremely large range of vocabulary sizes (16 to 1M) on five primary and popular datasets. Three typical ones are 15 Scenes, Caltech 101 and PASCAL VOC 2007, while the other two large-scale ones are Caltech 256 and ImageNet. Based on the systematic evaluation, some interesting conclusions are drawn. Some conclusions are the extensions of previous viewpoints, while some are different but important to understand BoW model. Based on these conclusions, we provide detailed application criterions by evaluating coding and pooling based on precision, efficiency and memory requirements in different applications. We hope that this study can be helpful to evaluate different coding and pooling methods, the conclusions can be beneficial to better understand BoW, and the application criterions can be valuable to use BoW better indifferent applications. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics |
| 研究领域[WOS] | Computer Science ; Engineering ; Optics |
| 关键词[WOS] | VISUAL-CORTEX |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000356196400006 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/7938]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Chong,Huang, Kaiqi. How to use Bag-of-Words model better for image classification[J]. IMAGE AND VISION COMPUTING,2015,38:65-74. |
| APA | Wang, Chong,&Huang, Kaiqi.(2015).How to use Bag-of-Words model better for image classification.IMAGE AND VISION COMPUTING,38,65-74. |
| MLA | Wang, Chong,et al."How to use Bag-of-Words model better for image classification".IMAGE AND VISION COMPUTING 38(2015):65-74. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
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。