document: Summarization of archived and shared personal photo collections The volume of personal photos hosted on photo archives and social sharing platforms has been increasing exponentially . It is difficult to get an overview of a large collection of personal photos without browsing though the entire database manually . In this research , we propose a framework to generate representative subset summaries from photo collections hosted on web archives or social networks . We define salient properties of an effective photo summary and model summarization as an optimization of these properties , given the size constraints . We also introduce metrics for evaluating photo summaries based on their information content and the ability to satisfy user 's information needs . Our experiments show that our summarization framework performs better than baseline algorithms .
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