Image retrieval using point- and block-based visual vocabulary

With the rapidly evolving computer technologies, the multimedia and vision applications, such as visual recognition, scene modeling, image retrieval, and image categorization attract significant attention. The visual words, a collection of local features of images, can be used to represent image information. By considering the content homogeneity of visual words, we design a visual vocabulary which contains macro-based and micro-based corresponding to feature points and key blocks visual words, respectively. We also apply the proposed visual vocabulary and description scheme to construct an image retrieving system. The performance evaluation of the systems indicates that the proposed visual vocabulary achieves promising results.