The rapid increase of mobile phone cameras has enabled users to easily take and share pictures. This has created a potential for mobile device driven sensing of the world at a previously unachieved spatio-temporal granularity, enabling a variety of new applications. The data collection activity is highly uncoordinated and hence, a key issue in effectively using such imagery understands the relevance value of each image. Having such a value can not only streamline the resource usage in sharing the image data but also support the development of incentive mechanisms for users to contribute worthwhile data. This paper discusses the problem of assigning relevance values to images from mobile devices with respect to an application's existing image data-set.
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