Abstract
The newly proposed Logo on Map (LoM) system consist s of three modules: picture extraction module (PEM), logo matching module (LMM) and web mapping m odule (WMM). Since the first two modules were covered in our previous paper, the third module WMM is described here to present a complete LoM system . Current research is focused on geo-location distrib ution of brands on Google Maps. Pictures taken by ordinary people are extracted using Picture Extract ion Module (PEM). The pictures containing relevant logos are obtained via Logo Matching Module (LMM). Brand distributions are overlaid on Google Maps. In this paper, GPS and brands are briefly described , and the implementation of Web Mapping Module (WMM) based on Google Maps API is detailed. Then se veral experiments are carried out on the selected top brands. Finally the LMM-pictures are mapped on the Google Maps and the geographical distributions of the brands are visualised. Brand uniqueness is d iscussed and conclusion is drawn that with unique brand names web mapping can visually reflect the re al economic activities of a company in the world.
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