Visualization & Layout for Personal Photo Libraries

نویسندگان

  • Baback Moghaddam
  • Qi Tian
  • Neal Lesh
  • Chia Shen
  • Thomas Huang
چکیده

In this paper, we present visualization and layout algorithms that can enhance informal storytelling using personal digital data such as photos in a face-to-face social setting. In order to build a more intuitive browser for retrieval, navigation and story-telling, we introduce a novel optimized layout technique for large image sets which respects (contextsensitive) mutual similarities as visualized on a shared 2-D display (a table-top). The experimental results show a more perceptually intuitive and informative visualization of traditional CBIR-based retrievals, providing not only a better understanding of the query context but also aiding the user in forming new queries. A framework for user-modeling is also introduced and tested. This allows the system to adapt to the user's preferences and relevance feedback.

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تاریخ انتشار 2001