Beyond visual word ambiguity: Weighted local feature encoding with governing region
文献类型：期刊论文
| 作者 | Zhang, Chunjie1 ; Xiao, Xian2; Pang, Junbiao3; Liang, Chao4; Zhang, Yifan5; Huang, Qingming1,6
|
| 刊名 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
 |
| 出版日期 | 2014-08-01 |
| 卷号 | 25期号:6页码:1387-1398 |
| 关键词 | Visual word ambiguity Governing region Weighted encoding Image classification Sparse Bag-of-visual words Object categorization Locality constraint |
| 英文摘要 | Typically, k-means clustering or sparse coding is used for codebook generation in the bag-of-visual words (BOW) model. Local features are then encoded by calculating their similarities with visual words. However, some useful information is lost during this process. To make use of this information, in this paper, we propose a novel image representation method by going one step beyond visual word ambiguity and consider the governing regions of visual words. For each visual application, the weights of local features are determined by the corresponding visual application classifiers. Each weighted local feature is then encoded not only by considering its similarities with visual words, but also by visual words' governing regions. Besides, locality constraint is also imposed for efficient encoding. A weighted feature sign search algorithm is proposed to solve the problem. We conduct image classification experiments on several public datasets to demonstrate the effectiveness of the proposed method. (C) 2014 Elsevier Inc. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | IMAGE CLASSIFICATION ; FACE RECOGNITION ; REPRESENTATION ; SCENE ; MODEL |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000339538100009 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3356]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 3.Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China 4.Wuhan Univ, Sch Comp, Natl Engn Res Ctr Multimedia Software, Wuhan 430072, Peoples R China 5.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Comp Technol, Key Lab Intell Info Proc, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Chunjie,Xiao, Xian,Pang, Junbiao,et al. Beyond visual word ambiguity: Weighted local feature encoding with governing region[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2014,25(6):1387-1398. |
| APA | Zhang, Chunjie,Xiao, Xian,Pang, Junbiao,Liang, Chao,Zhang, Yifan,&Huang, Qingming.(2014).Beyond visual word ambiguity: Weighted local feature encoding with governing region.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,25(6),1387-1398. |
| MLA | Zhang, Chunjie,et al."Beyond visual word ambiguity: Weighted local feature encoding with governing region".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 25.6(2014):1387-1398. |
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。