Using the Knowledge of Object Colors to Segment Images and Improve Web Image Search

With web image search engines, we face a situation where the results are very noisy, and when we ask for a specific object, we are not ensured that this object is contained in all the images returned by the search engines: about 50% of the images returned are off-topic. In this paper, we explain how knowing the color of an object can help locating the object in images, and we also propose methods to automatically find the color of an object, so that the whole process can be fully automatic. Results reveal that this method allows us to reduce the noise in returned images while providing automatic segmentation so that it can be used for clustering or object learning.