RESEARCH ON KEY THECHNOLOGIES OF PORNOGRAPHIC IMAGE/VIDEO RECOGNITION IN COMPRESSED DOMAIN  

作　　者：Zhao Shiwei Zhuo Li Wang Suyu Shen Lansun 

机构地区：[1]Signal ＆ Information Processing Lab [2] Beijing University of Technology [3] Beijing 100124 [4] China

出　　处：《Journal of Electronics(China)》2009年第5期687-691,共5页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60772069);863 High-Tech Project (2008AA01A313)

摘　　要：Pornographic image/video recognition plays a vital role in network information surveillance and management. In this paper, its key techniques, such as skin detection, key frame extraction, and classifier design, etc., are studied in compressed domain. A skin detection method based on data-mining in compressed domain is proposed firstly and achieves the higher detection accuracy as well as higher speed. Then, a cascade scheme of pornographic image recognition based on selective decision tree ensemble is proposed in order to improve both the speed and accuracy of recognition. A pornographic video oriented key frame extraction solution in compressed domain and an approach of pornographic video recognition are discussed respectively in the end.Pornographic image/video recognition plays a vital role in network information surveillance and management. In this paper, its key techniques, such as skin detection, key frame extraction, and classifier design, etc., are studied in compressed domain. A skin detection method based on data-mining in compressed domain is proposed firstly and achieves the higher detection accuracy as well as higher speed. Then, a cascade scheme of pornographic image recognition based on selective decision tree ensemble is proposed in order to improve both the speed and accuracy of recognition. A pornographic video oriented key frame extraction solution in compressed domain and an approach of pornographic video recognition are discussed respectively in the end.

关 键 词：Pornographic image/video Compressed domain Skin detection Key frame extraction 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TS612.1[自动化与计算机技术—计算机科学与技术]