{"title":"马赛克掩蔽区域的鲁棒检测","authors":"Jung-Jae Yu, S. Han","doi":"10.1109/FCV.2015.7103722","DOIUrl":null,"url":null,"abstract":"In this paper, a novel method to automatically detect mosaic masking regions in an input image is proposed. Mosaic masking region can be used as an important clue for recognizing commercial pornographic images. The proposed method is composed of three steps. The first step is to extract SRE features using a new cross-shaped feature characteristic, and the second step is to estimate the parameters of a mosaic candidate region, and the final step is SRD verification using the characteristic of luminance distribution in a mosaic masking region. Proposed method is fast and robust to blurring effects caused by image resizing and low quality video compression and it can be used for computer vision application to block adult videos.","PeriodicalId":424974,"journal":{"name":"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust detection of mosaic masking region\",\"authors\":\"Jung-Jae Yu, S. Han\",\"doi\":\"10.1109/FCV.2015.7103722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel method to automatically detect mosaic masking regions in an input image is proposed. Mosaic masking region can be used as an important clue for recognizing commercial pornographic images. The proposed method is composed of three steps. The first step is to extract SRE features using a new cross-shaped feature characteristic, and the second step is to estimate the parameters of a mosaic candidate region, and the final step is SRD verification using the characteristic of luminance distribution in a mosaic masking region. Proposed method is fast and robust to blurring effects caused by image resizing and low quality video compression and it can be used for computer vision application to block adult videos.\",\"PeriodicalId\":424974,\"journal\":{\"name\":\"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FCV.2015.7103722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCV.2015.7103722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a novel method to automatically detect mosaic masking regions in an input image is proposed. Mosaic masking region can be used as an important clue for recognizing commercial pornographic images. The proposed method is composed of three steps. The first step is to extract SRE features using a new cross-shaped feature characteristic, and the second step is to estimate the parameters of a mosaic candidate region, and the final step is SRD verification using the characteristic of luminance distribution in a mosaic masking region. Proposed method is fast and robust to blurring effects caused by image resizing and low quality video compression and it can be used for computer vision application to block adult videos.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
