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Mobile-based landmark recognition is becoming increasingly appealing due to the proliferation of mobile devices coupled with improving processing techniques, imaging capability, and networking infrastructure. This article provides a general overview of existing mobile-based and nonmobile-based landmark recognition systems and their differences. We discuss content and context analysis and compare landmark classification methods. We also present the experimental results of our own mobile landmark recognition evaluations based on content analysis, context analysis, and integrated content-context analysis.