Fuzzy bag of words for social image description
文献类型：期刊论文
| 作者 | Li, Yanshan1,2,3; Liu, Weiming2; Huang, Qinghua1; Li, Xuelong4
|
| 刊名 | multimedia tools and applications
 |
| 出版日期 | 2016-02-01 |
| 卷号 | 75期号:3页码:1371-1390 |
| 关键词 | Bag of words Fuzzy sets theory Image description Social images |
| ISSN号 | 1380-7501 |
| 产权排序 | 4 |
| 英文摘要 | 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. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | computer science, information systems ; computer science, software engineering ; computer science, theory & methods ; engineering, electrical & electronic |
| 类目[WOS] | computer science, information systems ; computer science, software engineering ; computer science, theory & methods ; engineering, electrical & electronic |
| 研究领域[WOS] | computer science ; engineering |
| 关键词[WOS] | recognition ; features |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000371309600002 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/27865]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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