How to use Bag-of-Words model better for image classification

CASIA OpenIR > 智能感知与计算研究中心

	How to use Bag-of-Words model better for image classification
	Wang, Chong; Huang, Kaiqi
发表期刊	IMAGE AND VISION COMPUTING
	2015-06-01
卷号	38 期号:0 页码:65-74
文章类型	Article
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.
关键词	Image Classification Bag-of-words Visual Vocabulary Coding Pooling
WOS标题词	Science & Technology ; Technology ; Physical Sciences
关键词[WOS]	VISUAL-CORTEX
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Optics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号	WOS:000356196400006
引用统计	被引频次：26[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/7938
专题	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
第一作者单位	模式识别国家重点实验室
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(0):65-74.
APA	Wang, Chong,&Huang, Kaiqi.(2015).How to use Bag-of-Words model better for image classification.IMAGE AND VISION COMPUTING,38(0),65-74.
MLA	Wang, Chong,et al."How to use Bag-of-Words model better for image classification".IMAGE AND VISION COMPUTING 38.0(2015):65-74.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Chong Wang_How to Us（2035KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载