| Fuzzy bag of words for social image description | |
Li, Yanshan1,2,3; Liu, Weiming2; Huang, Qinghua1; Li, Xuelong4
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| 作者部门 | 光学影像学习与分析中心 |
| 2016-02-01 | |
| 发表期刊 | MULTIMEDIA TOOLS AND APPLICATIONS
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| ISSN | 1380-7501 |
| 卷号 | 75期号:3页码:1371-1390 |
| 产权排序 | 4 |
| 摘要 | Rapid growth of social media resources brings huge challenges and opportunities for image description technologies. The performance of image description method directly affects the accuracy of image retrieval, image annotation and image recognition. Bag of Words (BoW) as an efficient approach to describing the images has been attracting more and more attention. However, in traditional BoW, the maps between the words in the codebook and the features extracted from the images are actually ambiguous. As the Fuzzy Sets Theory (FST) is a powerful means for dealing with uncertainty efficiently, we utilize the FST to solve the problem caused by the ambiguity between the features and words. Accordingly, we propose a new type of BoW named as FBoW to describe images based on FST. Firstly, the features are extracted from the images. Secondly, k-means is utilized to learn the codebook. Thirdly, a fuzzy membership function is designed to measure the similarity between the features and words. The optimal parameters of the fuzzy membership function are obtained by using a Genetic Algorithm (GA). The histogram is generated by adding up the fuzzy membership values of each word to describe the images. The experimental results show that the proposed FBoW outperforms traditional BoW for social image description. |
| 文章类型 | Article |
| 关键词 | Bag Of Words Fuzzy Sets Theory Image Description Social Images |
| 学科领域 | Computer Science, Information Systems |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1007/s11042-014-2138-4 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | RECOGNITION ; FEATURES |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Engineering |
| 项目资助者 | National Natural Science Funds of China(61125106 ; Guangdong Provincial Project of Transportation Science and Technology(2012-02-084) ; Natural Science Funds of Guangdong Province(S2012010009885) ; Fundamental Research Funds for the Central Universities(2014ZG0038) ; Projects of innovative science and technology, Department of Education, Guangdong Province(2013KJCX0012) ; Shaanxi Key Innovation Team of Science and Technology(2012KCT-04) ; 61372007 ; 91120302 ; 61072093) |
| WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000371309600002 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/27865 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China 2.S China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China 3.Shenzhen Univ, Shenzhen 518060, Peoples R China 4.Chinese Acad Sci, Ctr Opt IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yanshan,Liu, Weiming,Huang, Qinghua,et al. Fuzzy bag of words for social image description[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2016,75(3):1371-1390. |
| APA | Li, Yanshan,Liu, Weiming,Huang, Qinghua,&Li, Xuelong.(2016).Fuzzy bag of words for social image description.MULTIMEDIA TOOLS AND APPLICATIONS,75(3),1371-1390. |
| MLA | Li, Yanshan,et al."Fuzzy bag of words for social image description".MULTIMEDIA TOOLS AND APPLICATIONS 75.3(2016):1371-1390. |
| 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 | ||
| Fuzzy bag of words f（2887KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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