A novel fast scene classification method via DCT

doi:10.1109/CISP.2014.7003859

	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
	2014-01-06
会议日期	October 14, 2014 - October 16, 2014
会议地点	Dalian, China
关键词	Signal processing Support vector machines AC coefficients Compressed domain DCT transform directionality Discrete Cosine Transform(DCT) Feature vectors Model-based OPC Scene classification
DOI	10.1109/CISP.2014.7003859
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. © 2014 IEEE.
会议录	Proceedings - 2014 7th International Congress on Image and Signal Processing, CISP 2014
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117806]
专题	电气工程与信息工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an; 710049, 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:. Dalian, China. October 14, 2014 - October 16, 2014.