11. The method of claim 1 , further comprising: training any of the first classifier, the second classifier, or the third classifier to recognize images belonging to a same class.
11. The method of claim 1 , further comprising: training any of the first classifier, the second classifier, or the third classifier to recognize images belonging to a same class. 12. The method of claim 11 , wherein visual features and visual word count vectors are represented by multi-dimensional vectors, wherein said training includes using a k nearest-neighbor (kNN) algorithm to train and predict an object class of a training vector extracted based on an image of a training object, and storing the training vector with the object class of the training vector, the training vector being one of a plurality of training vectors.