A Novel Fast Scene Classification Method via DCT

CORC > 兰州理工大学 > 兰州理工大学 > 新能源学院

	A Novel Fast Scene Classification Method via DCT
	Li, Ce 1,2; Li, Ming 1; Xiao, Meili 1; Hu, Zhijia 1; Miao, Xiuxun 1; Pan, Zhengrong 1
	2014
关键词	scene classification DCT directionality multi-resolution compressed domain
页码	650-654
英文摘要	Scene classification is a hot problem in the computer vision. In this paper, a novel rapid scene classification method is proposed based on the discrete cosine transform (DCT) domain. Firstly, we divided the whole image into several areas of the same size without repetition, do DCT transform with the size of the B * B in each separate sub image area divided above. Secondly, scanning AC coefficients in each DCT block by three ways, modeling based on the correlation between AC coefficients in DCT block for extracting the feature vectors. Finally, with the feature vectors obtained previously, using one-vs-all Support Vector Machine train classifiers. Experimental results show that the proposed method is effective in image classification.
会议录	2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014)
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 ; Engineering
WOS记录号	WOS:000361018900121
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36743]
专题	新能源学院电气工程与信息工程学院
通讯作者	Li, Ce
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China 2.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Peoples R China
推荐引用方式 GB/T 7714	Li, Ce,Li, Ming,Xiao, Meili,et al. A Novel Fast Scene Classification Method via DCT[C]. 见:.