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    • 1. 发明授权
    • Classification of images as advertisement images or non-advertisement images
    • 图像分类为广告图像或非广告图像
    • US08027940B2
    • 2011-09-27
    • US12945635
    • 2010-11-12
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • G06F15/18
    • G06Q30/02G06Q30/0277
    • An advertisement image classification system trains a binary classifier to classify images as advertisement images or non-advertisement images and then uses the binary classifier to classify images of web pages as advertisement images or non-advertisement images. During a training phase, the classification system generates training data of feature vectors representing the images and labels indicating whether an image is an advertisement image or a non-advertisement image. The classification system trains a binary classifier to classify images using training data. During a classification phase, the classification system inputs a web page with an image and generates a feature vector for the image. The classification system then applies the trained binary classifier to the feature vector to generate a score indicating whether the image is an advertisement image or a non-advertisement image.
    • 广告图像分类系统训练二进制分类器将图像分类为广告图像或非广告图像,然后使用二进制分类器将网页的图像分类为广告图像或非广告图像。 在训练阶段,分类系统生成表示图像的特征向量的训练数据,以及指示图像是广告图像还是非广告图像的标签。 分类系统训练二进制分类器,以使用训练数据对图像进行分类。 在分类阶段,分类系统输入具有图像的网页,并生成图像的特征向量。 然后,分类系统将经过训练的二进制分类器应用于特征向量,以生成指示图像是广告图像还是非广告图像的分数。
    • 2. 发明授权
    • Classification of images as advertisement images or non-advertisement images of web pages
    • 将图像分类为网页的广告图像或非广告图像
    • US07840502B2
    • 2010-11-23
    • US11762553
    • 2007-06-13
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • G06F15/18
    • G06Q30/02G06Q30/0277
    • An advertisement image classification system trains a binary classifier to classify images as advertisement images or non-advertisement images and then uses the binary classifier to classify images of web pages as advertisement images or non-advertisement images. During a training phase, the classification system generates training data of feature vectors representing the images and labels indicating whether an image is an advertisement image or a non-advertisement image. The classification system trains a binary classifier to classify images using training data. During a classification phase, the classification system inputs a web page with an image and generates a feature vector for the image. The classification system then applies the trained binary classifier to the feature vector to generate a score indicating whether the image is an advertisement image or a non-advertisement image.
    • 广告图像分类系统训练二进制分类器将图像分类为广告图像或非广告图像,然后使用二进制分类器将网页的图像分类为广告图像或非广告图像。 在训练阶段,分类系统生成表示图像的特征向量的训练数据,以及指示图像是广告图像还是非广告图像的标签。 分类系统训练二进制分类器,以使用训练数据对图像进行分类。 在分类阶段,分类系统输入具有图像的网页,并生成图像的特征向量。 然后,分类系统将经过训练的二进制分类器应用于特征向量,以生成指示图像是广告图像还是非广告图像的分数。
    • 3. 发明申请
    • CLASSIFICATION OF IMAGES AS ADVERTISEMENT IMAGES OR NON-ADVERTISEMENT IMAGES
    • 图像分类作为广告图像或非广告图像
    • US20080313031A1
    • 2008-12-18
    • US11762553
    • 2007-06-13
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • G06Q30/00
    • G06Q30/02G06Q30/0277
    • An advertisement image classification system trains a binary classifier to classify images as advertisement images or non-advertisement images and then uses the binary classifier to classify images of web pages as advertisement images or non-advertisement images. During a training phase, the classification system generates training data of feature vectors representing the images and labels indicating whether an image is an advertisement image or a non-advertisement image. The classification system trains a binary classifier to classify images using training data. During a classification phase, the classification system inputs a web page with an image and generates a feature vector for the image. The classification system then applies the trained binary classifier to the feature vector to generate a score indicating whether the image is an advertisement image or a non-advertisement image.
    • 广告图像分类系统训练二进制分类器将图像分类为广告图像或非广告图像,然后使用二进制分类器将网页的图像分类为广告图像或非广告图像。 在训练阶段,分类系统生成表示图像的特征向量的训练数据,以及指示图像是广告图像还是非广告图像的标签。 分类系统训练二进制分类器,以使用训练数据对图像进行分类。 在分类阶段,分类系统输入具有图像的网页,并生成图像的特征向量。 然后,分类系统将经过训练的二进制分类器应用于特征向量,以生成指示图像是广告图像还是非广告图像的分数。
    • 4. 发明申请
    • CLASSIFICATION OF IMAGES AS ADVERTISEMENT IMAGES OR NON-ADVERTISEMENT IMAGES
    • 图像分类作为广告图像或非广告图像
    • US20110058734A1
    • 2011-03-10
    • US12945635
    • 2010-11-12
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • Mingjing LiZhiwei LiDongfang LiBin Wang
    • G06K9/62
    • G06Q30/02G06Q30/0277
    • An advertisement image classification system trains a binary classifier to classify images as advertisement images or non-advertisement images and then uses the binary classifier to classify images of web pages as advertisement images or non-advertisement images. During a training phase, the classification system generates training data of feature vectors representing the images and labels indicating whether an image is an advertisement image or a non-advertisement Image. The classification system trains a binary classifier to classify Images using training data. During a classification phase, the classification system inputs a web page with an image and generates a feature vector for the image. The classification system then applies the trained binary classifier to the feature vector to generate a score indicating whether the image is an advertisement image or a non-advertisement image.
    • 广告图像分类系统训练二进制分类器将图像分类为广告图像或非广告图像,然后使用二进制分类器将网页的图像分类为广告图像或非广告图像。 在训练阶段,分类系统生成表示图像的特征向量的训练数据,以及指示图像是广告图像还是非广告图像的标签。 分类系统训练二进制分类器,以使用训练数据对图像进行分类。 在分类阶段,分类系统输入具有图像的网页,并生成图像的特征向量。 然后,分类系统将经过训练的二进制分类器应用于特征向量,以生成指示图像是广告图像还是非广告图像的分数。