An efficient strategy for features combination

An important consideration in designing of visual object classification systems is the representation of images. In the past decades, significant improvement has been made, which can owe to two strategies: the proposal of new discriminative local image features together with the combination of existing local image features. In this paper, several strategies which provide the combination weights of different local features are enumerated, and then our own strategy, in which the weights of multiple features are determined by their contributions to the classification performance, is proposed. At the end of the paper, we provide our result in Visual Object Classes Challenge 2009 (VOC 2009), which shows that the strategy is competitive with state-of-the-art methods while the processing time is dramatically reduced.