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- W2028793570 abstract "In this paper, we propose a framework for generation of representative subset summaries from large personal photo collections. These summaries will help in effective sharing and browsing of the personal photos. We define three salient properties: quality, diversity and coverage that an informative summary should satisfy. We propose methods to compute these properties using multidimensional content and context data. The objective of summarization is modeled as an optimization of these properties, given the size constraints. We also propose metrics which will evaluate the photo summaries based on their representation of the larger corpus and the ability to satisfy user's information needs. We use a dataset of 40K personal photos collected by crawling photo sharing and storage sites of sixteen users. Our experiments show that the summarization algorithm works better than the baseline algorithms." @default.
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- W2028793570 date "2011-01-01" @default.
- W2028793570 modified "2023-09-26" @default.
- W2028793570 title "Summarization of personal photologs using multidimensional content and context" @default.
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- W2028793570 doi "https://doi.org/10.1145/1991996.1992000" @default.
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