City Brand Image Building Strategy Based on Interactive Data Mining and Visual Saliency

Abstract

City brand image building strategy based on the interactive data mining and visual saliency is discussed in this paper. In the big data environment, through the general interface and interaction design, the operation and management and also scheduling capabilities of big data can be improved. By using this feature, this paper proposes the listed novelties. (1) The GSSL method mainly relies on the Euclidean distance between point pairs to construct a graph model composed of multiple overlapping local blocks. This feature is used to estimate the distance of the visual information. (2) The simplest form of the region matching is to divide the whole image into many sub-regions, and then measure the similarity of photometric information. This has been used to construct the analytic framework. The verifications have proven the better performance.