Visualization & Layout 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 relevance feedback.
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