Applying DINet, SimpleNet, and UMSI to Ad Images and its application to Layout Search for Ad Images System

Abstract

Ad image search system based on saliency map information is proposed for ad image designers to search close layout banners to their thinking to make. Clustering method is applied to improve its performance to search feature. Four data sets which are applied to performance test for DINet, SimpleNet and UMSI, shows that three models are applicable to ad image search system for each image types. The proposal will be used to ad rep business company to improve their work efficiency by leading new designer to senior designer with past designs and information as like a created date in a company.