The 10th IEEE International Symposium on Signal Processing and Information Technology最新文献

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Content-based retrieval of audio data using a Centroid Neural Network 使用质心神经网络的基于内容的音频数据检索

The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711733

Dong-Chul Park

引用次数: 4

Singer and music discrimination based threshold in polyphonic music 复调音乐中基于阈值的歌手与音乐辨别

The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711726

H. Ezzaidi, M. Bahoura, J. Rouat

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引用次数: 2

Adult image content filtering: A statistical method based on Multi-Color Skin Modeling 成人图像内容过滤:一种基于多色皮肤建模的统计方法

The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-11-29 DOI: 10.1109/ICCTD.2010.5646444

M. Mofaddel, S. Sadek

{"title":"Adult image content filtering: A statistical method based on Multi-Color Skin Modeling","authors":"M. Mofaddel, S. Sadek","doi":"10.1109/ICCTD.2010.5646444","DOIUrl":"https://doi.org/10.1109/ICCTD.2010.5646444","url":null,"abstract":"Automatic skin detection is a key enabler of various imaging applications, such as face detection, human tracking, and adult content filtering. In 1996, the first paper on identifying nude pictures was published. Since then, different researchers argue different color models to be the best choice for skin detection. But, to the best our knowledge, no significant work has been reported previously that attempted to use more than one color model and evaluate the performance for recognizing adult contents. In this paper, a simple statistical framework for recognizing adult images based on an MCSM (Multi-Color Skin Model) is described. From a high level, our approach works in two steps. First, skin regions in an input image are detected using the MCSM. Then these suspected regions are fed into a specialized geometrical analyzer that attempts to assemble a human figure using simple geometric shapes derived from human body structure. Quantitative evaluation shows that our method compares favorably with the state-of-the-art methods in terms of detection rate and false alarm, while reducing the computational complexity by a factor of 1/6 with respect to the Forsyth's method.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"33 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132836986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

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