Institutional Repository of Coll Elect & Informat Engn
The scene classification method based on difference vector in DCT domain | |
Li, Ce1,2; Li, Ming2; Xiao, Limei2; Ren, Beijie2 | |
2016 | |
会议名称 | 12th International Conference on Intelligent Computing Theories and Application, ICIC 2016 |
会议录名称 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
卷号 | 9772 |
页码 | 436-447 |
会议日期 | August 2, 2016 - August 5, 2016 |
会议地点 | Lanzhou, China |
出版地 | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND |
出版者 | Springer Verlag |
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. |
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 |
DOI | 10.1007/978-3-319-42294-7_39 |
收录类别 | EI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods |
WOS记录号 | WOS:000387430400039 |
EI入藏号 | 20163002641621 |
EI主题词 | Vectors |
ISSN | 03029743 |
来源库 | Compendex |
分类代码 | 716.1 Information Theory and Signal Processing - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723 Computer Software, Data Handling and Applications - 921.1 Algebra |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://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.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China |
第一作者单位 | 电气工程与信息工程学院 |
通讯作者单位 | 电气工程与信息工程学院 |
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]. GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:Springer Verlag,2016:436-447. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
查看访问统计 |
谷歌学术 |
谷歌学术中相似的文章 |
[Li, Ce]的文章 |
[Li, Ming]的文章 |
[Xiao, Limei]的文章 |
百度学术 |
百度学术中相似的文章 |
[Li, Ce]的文章 |
[Li, Ming]的文章 |
[Xiao, Limei]的文章 |
必应学术 |
必应学术中相似的文章 |
[Li, Ce]的文章 |
[Li, Ming]的文章 |
[Xiao, Limei]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论