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OALib Journal期刊
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Web Mapping Using Logo on Map

Keywords: Web mining , Flick , Google API , Log , Brand names , Popularity , GPS , Geographical information

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Abstract:

The newly proposed Logo on Map (LoM) system consists of three modules: picture extraction module(PEM), logo matching module (LMM) and web mapping module (WMM). Since the first two modules werecovered in our previous paper, the third module WMM is described here to present a complete LoM system.Current research is focused on geo-location distribution of brands on Google Maps. Pictures taken byordinary people are extracted using Picture Extraction Module (PEM). The pictures containing relevantlogos 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 several experiments are carried out on the selectedtop brands. Finally the LMM-pictures are mapped on the Google Maps and the geographical distributionsof the brands are visualised. Brand uniqueness is discussed and conclusion is drawn that with uniquebrand names web mapping can visually reflect the real economic activities of a company in the world.

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