Image Collection Browser
Bungee View is designed to support non-technical users in gaining an understanding of an image collection as a whole, and in finding patterns in their meta-data, while they search and browse.
Motivation
Web search engines have attracted widespread demand for information retrieval from unstructured documents. The number of structured and semi-structured documents available on the Web is also huge, and collections of these are more amenable to data mining. Yet there has been no similar explosion of interest in this kind of exploration. Finding patterns in databases of political contributions, environmental data, or hospital and school performance would surely interest many citizens. The main research question for this project is how to support such exploration for users with little or no training in statistics or programming. In contrast to other data-mining systems, Bungee View focuses on learnability, responsiveness, robustness, and providing a satisfying user experience.
Source: http://cityscape.inf.cs.cmu.edu/bungee/ (via information aesthetics)
