The scene classification method based on difference vector in DCT domain

doi:10.1007/978-3-319-42294-7_39

	The scene classification method based on difference vector in DCT domain
	Li, Ce 1,2; Li, Ming 1; Xiao, Limei 1; Ren, Beijie 1
	2016
会议日期	August 2, 2016 - August 5, 2016
会议地点	Lanzhou, China
关键词	Classification (of information) Computation theory Database systems Intelligent computing Matrix algebra Support vector machines Compressed domain Cross validation DCT coefficients Difference vectors Energy concentration Hot research topics Multiresolution characteristics Scene classification
卷号	9772
DOI	10.1007/978-3-319-42294-7_39
页码	436-447
英文摘要	Scene classification is one of the hot research topics in the field of computer vision, it is the basis of the organization and access for a variety of image database, so it has important practical significance. In our previous work, we put forward a novel fast scene classification method via DCT based on the energy concentration and multi-resolution characteristics of DCT coefficients. This paper improved our previous work proposed a scene classification method based on DCT domain using difference vectors. First of all, divided the whole image into the regular grid without repetition, in each grid, do DCT transform with the size of 8 * 8 get the DCT coefficients matrix, extract the AC coefficients in the matrix get the original vectors; Then, selected N images from each category in the database randomly, calculate the average vector of their original vectors, using the original vectors of all images corresponding category subtract the average vector get the difference vectors as the feature vectors; Finally, based on these feature vectors defined above, train classifiers with one-vs.-all support vector machine (SVM). In order to verify the robustness of the proposed algorithm, this paper has built an image database contains eight scene categories according to the OT database, this paper conducted cross validation experiment for the proposed method in the two databases. Experimental results show that the proposed method has higher accuracy and speed in image classification, and has good robustness. © Springer International Publishing Switzerland 2016.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
会议录出版地	GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
语种	英语
ISSN号	03029743
WOS研究方向	Computer Science
WOS记录号	WOS:000387430400039
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117451]
专题	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, Sch Elect & Informat Engn, Xian 710049, Peoples R China
推荐引用方式 GB/T 7714	Li, Ce,Li, Ming,Xiao, Limei,et al. The scene classification method based on difference vector in DCT domain[C]. 见:. Lanzhou, China. August 2, 2016 - August 5, 2016.