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Color pornographic image detection based on color-saliency preserved mixture deformable part model

机译:基于显色保留混合可变形零件模型的彩色色情图像检测

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摘要

To utilize the rich semantic information of sexual organs, we propose a new framework for pornographic image detection based on sexual organ detectors. Traditional sexual organ detectors are built on shape features. Since the color distribution of sexual organ in same pose is consistent, color is an important visual clue to represent sexual organs. We use color attribute to describe the local color of sexual organs and concatenate it with histogram of oriented gradients based shape feature to represent sexual organs. Based on the concatenated feature, we train sexual organ detectors by the color-saliency preserved mixture deformable part model (CPMDPM). We detect pornographic images sequentially with sexual organ detectors. In experiments, the optimal part number of the deformable part model is chosen experimentally. We evaluate the performance of each CPMDPM based sexual organ detector, which is superior over the shape feature based detector. The proposed pornographic detection method is superior over methods based on low level features of skin regions, bag of words model and color incorporated SIFT features etc.
机译:为了利用性器官的丰富语义信息,我们提出了一种基于性器官检测器的色情图像检测新框架。传统的性器官检测器基于形状特征。由于相同姿势下性器官的颜色分布是一致的,因此颜色是代表性器官的重要视觉线索。我们使用颜色属性描述性器官的局部颜色,并将其与基于形状特征的定向梯度直方图连接起来,以表示性器官。基于连接的特征,我们通过颜色显着性保留的混合可变形部分模型(CPMDPM)训练性器官检测器。我们使用性器官检测器依次检测色情图片。在实验中,通过实验选择可变形零件模型的最佳零件编号。我们评估了每个基于CPMDPM的性器官检测器的性能,该性能优于基于形状特征的检测器。所提出的色情检测方法优于基于皮肤区域的低水平特征,单词袋模型和结合了SIFT特征的颜色等方法。

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