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基于预过滤与数据增强的色情图像识别模型 被引量:1
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作者 陈俊任 刘瑞航 《现代计算机》 2020年第10期69-75,共7页
网络色情问题已经成为互联网应用不得不面对的问题。现有的色情图像识别技术仍然有较高的误报率。此外,色情图像数据集少使得基于深度学习的色情图像识别的训练容易产生过拟合。为了解决上述挑战,提出一种改进的基于预过滤与数据增强的... 网络色情问题已经成为互联网应用不得不面对的问题。现有的色情图像识别技术仍然有较高的误报率。此外,色情图像数据集少使得基于深度学习的色情图像识别的训练容易产生过拟合。为了解决上述挑战,提出一种改进的基于预过滤与数据增强的色情图像识别模型PIRPDA。该模型能预过滤掉人脸特写图像以及婴儿图像这些容易被识别为色情的图像。并且通过不改变色情图像性质的方法来设计数据增强方案,提高色情图像识别的准确率。实验表明,所提出的PIRPDA模型在NPDI色情数据集上取得93.268%的准确率,优于当前主流的色情图像识别方法。 展开更多
关键词 色情图像识别 深度学习 数据增强 PIRPDA
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互联网视听节目监控管理系统的设计与实现 被引量:2
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作者 张良 姜洪臣 《中国有线电视》 2018年第1期15-18,共4页
针对互联网视听节目内容庞杂,监测人员监控管理难度大的现实问题,重点研究如何利用多种手段融合的方式提升内容监控的整体效率,并对互联网视听节目监控系统解决方案的整体思路与框架进行了讨论。提出了一套基于多手段融合的互联网视听... 针对互联网视听节目内容庞杂,监测人员监控管理难度大的现实问题,重点研究如何利用多种手段融合的方式提升内容监控的整体效率,并对互联网视听节目监控系统解决方案的整体思路与框架进行了讨论。提出了一套基于多手段融合的互联网视听节目监控管理系统方案,在此基础上设计实现了一套涵盖采集、分析、审核等业务全流程的应用系统。实际应用效果表明,互联网视听节目监控管理系统智能化程度高,大幅减轻了监测人员的工作负荷与心理压力,实现了常规互联网视听节目内容监控的自动化。 展开更多
关键词 互联网视听节目监控 敏感内容分析 色情图像识别
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Bag-of-visual-words model for artificial pornographic images recognition
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作者 李芳芳 罗四伟 +1 位作者 刘熙尧 邹北骥 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第6期1383-1389,共7页
It is illegal to spread and transmit pornographic images over internet,either in real or in artificial format.The traditional methods are designed to identify real pornographic images and they are less efficient in de... It is illegal to spread and transmit pornographic images over internet,either in real or in artificial format.The traditional methods are designed to identify real pornographic images and they are less efficient in dealing with artificial images.Therefore,criminals turn to release artificial pornographic images in some specific scenes,e.g.,in social networks.To efficiently identify artificial pornographic images,a novel bag-of-visual-words based approach is proposed in the work.In the bag-of-words(Bo W)framework,speeded-up robust feature(SURF)is adopted for feature extraction at first,then a visual vocabulary is constructed through K-means clustering and images are represented by an improved Bo W encoding method,and finally the visual words are fed into a learning machine for training and classification.Different from the traditional BoW method,the proposed method sets a weight on each visual word according to the number of features that each cluster contains.Moreover,a non-binary encoding method and cross-matching strategy are utilized to improve the discriminative power of the visual words.Experimental results indicate that the proposed method outperforms the traditional method. 展开更多
关键词 artificial pornographic image bag-of-words (BoW) speeded-up robust feature (SURF) descriptors visual vocabulary
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RESEARCH ON KEY THECHNOLOGIES OF PORNOGRAPHIC IMAGE/VIDEO RECOGNITION IN COMPRESSED DOMAIN
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作者 Zhao Shiwei Zhuo Li Wang Suyu Shen Lansun 《Journal of Electronics(China)》 2009年第5期687-691,共5页
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.,... 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. 展开更多
关键词 Pornographic image/video Compressed domain Skin detection Key frame extraction
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