A Novel Dynamic Sub-Region Running Algorithm for Image Retrieval

Content-based image retrieval (CBIR) has become an important research field in multimedia information processing. In this paper, we present a novel CBIR algorithm based on running sub-blocks with different similarity weights. By splitting the entire image into sub-blocks, we use color-layout information to retrieval images under the query of special object. Further more, after retrieval, some post-processing can be incorporated to enhance the CBIR systems for other applications.