PDH: A Human-Centric Interface for Image Libraries

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 (context-sensitive) 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 preference and integrate relevance feedback.
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