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An image classification method based on PLSA and visual phrases | |
Zhang, Yong; Yang, Hao![]() | |
2017 | |
会议名称 | 2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS) |
会议录名称 | 2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS)
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页码 | 59-62 |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
出版者 | IEEE |
摘要 | In the traditional image classification methods based on the Spatial Pyramid Model (SPM), SPM increased the computational complexity of image classification in the process of obtaining the spatial distribution information of the local features, and the sub-region of SPM is defined in advance, so the image classification methods based on SPM have some limitations. In view of the problems above, this paper proposed an image classification method based on probabilistic latent semantic analysis (PLSA) and visual phrases. Firstly, the method obtained the spatial distribution information of the local features by establishing visual phrases. Then, a new semantic visual dictionary was constructed based on the visual phrases. Finally, the PLSA was used to model all images. Experiments on two common image databases show that the image classification performances of the proposed method is significantly improved to some extend compared with another two traditional methods. |
关键词 | image classification probabilistic latent semantic analysis visual phrases |
DOI | 10.1109/ICITBS.2016.138 |
语种 | 英语 |
WOS研究方向 | Computer Science ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Telecommunications |
WOS记录号 | WOS:000427175000015 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/36255 |
专题 | 体育教学研究部 |
通讯作者 | Yang, Hao |
作者单位 | Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China |
第一作者单位 | 兰州理工大学 |
通讯作者单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Zhang, Yong,Yang, Hao. An image classification method based on PLSA and visual phrases[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:59-62. |
条目包含的文件 | 条目无相关文件。 |
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