Classification of images as advertisement images or non-advertisement images

A computer-readable storage device for classifying a target image of a target display page as an advertisement image or non-advertisement image, by a method comprising:

• providing a classifier to classify an image of a display page as an advertisement image or a non-advertisement image, the classifier having been trained using features derived from training images of training display pages and labels of the training images, the label of a training image indicating whether the training image is an advertisement image or a non-advertisement image;
• identifying the features of the target image of the target display page;
• and
• applying the provided classifier to the identified features of the target image to classify the target image as an advertisement image or a non-advertisement image.

A computing device for identifying features of images of web pages for use in classifying images as advertisement images or non-advertisement images, comprising:

• a training data store including feature vectors for images of web pages, the images being labeled as advertisement images or non-advertisement images, the feature vectors including candidate features;
• a memory storing computer-executable instructions of:
• a component that trains a first classifier using the feature vectors with candidate features and labels of the training data store;
• and
• a component that selects as features for use in classifying images those candidate features whose weights indicate they are effective at distinguishing advertisement images from non-advertisement images;
• and
• a processor for executing the computer-executable instructions stored in the memory.