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Objectionable image recognition system in compression domain
Ye, QX; Gao, W; Zeng, W; Zhang, T; Wang, WQ; Liu, Y
2003
发表期刊INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING
ISSN0302-9743
卷号2690页码:1131-1135
摘要In this paper, we propose an intelligent recognition system for objectionable image in JPEG compression domain. First, the system applies robust skin color model and skin texture analysis to detect the skin regions in an input image based on its DC and ACs. Then, the color, texture, shape and statistical features are extracted from the skin regions and input into a decision-tree classifier for classification. A large image library including about 120,000 images is employed to evaluate the system's effectiveness.
收录类别SCI
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:000185822400164
出版者SPRINGER-VERLAG BERLIN
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13710
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ye, QX
作者单位Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Ye, QX,Gao, W,Zeng, W,et al. Objectionable image recognition system in compression domain[J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING,2003,2690:1131-1135.
APA Ye, QX,Gao, W,Zeng, W,Zhang, T,Wang, WQ,&Liu, Y.(2003).Objectionable image recognition system in compression domain.INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING,2690,1131-1135.
MLA Ye, QX,et al."Objectionable image recognition system in compression domain".INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING 2690(2003):1131-1135.
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