An image classification method based on PLSA and visual phrases

doi:10.1109/ICITBS.2016.138

	An image classification method based on PLSA and visual phrases
	Zhang, Yong; Yang, Hao
	2017
关键词	image classification probabilistic latent semantic analysis visual phrases
DOI	10.1109/ICITBS.2016.138
页码	59-62
英文摘要	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.
会议录	2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Computer Science ; Telecommunications
WOS记录号	WOS:000427175000015
内容类型	会议论文
源URL	[http://119.78.100.223/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
推荐引用方式 GB/T 7714	Zhang, Yong,Yang, Hao. An image classification method based on PLSA and visual phrases[C]. 见:.