Boosting image retrieval framework with salient objects

The retrieval in multimedia database is research focus in computer vision. In this paper, we propose a novel boosting image retrieval framework. In our work, a new method is proposed to extract salient objects in the images in order to eliminate the interference of the background. Then an effective framework for image retrieval is introduced with weak classifier. To evaluate the validity of the proposed algorithm, we test our approach in SIMPLIcity dataset and Corel5000 dataset. The simulation results show that the proposed framework is effective in retrieving the user-interested image.

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