Abstract:This paper describes our work on developing a multimedia wireless field guide platform (WFG) for both fully automatic and assisted identification of different fauna and flora species. Built using a smart-client and server model it supports both visual and acoustic capture of individual specimen samples with optional graphical annotation for posing queries alongside more traditional searching and browsing query interfaces. The WFG assists the user to iteratively converge on a correct match by seeking additional… Show more
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