@techreport{jampani10_msrreport, title = {ImageFlow: Streaming Image Search}, author = {Jampani, Varun and Ramos, Gonzalo and Drucker, Steven}, address = {Redmond}, volume = {MSR-TR-2010-148}, abstract = {Traditional grid and list representations of image search results are the dominant interaction paradigms that users face on a daily basis, yet it is unclear that such paradigms are well-suited for experiences where the user‟s task is to browse images for leisure, to discover new information or to seek particular images to represent ideas. We introduce ImageFlow, a novel image search user interface that ex-plores a different alternative to the traditional presentation of image search results. ImageFlow presents image results on a canvas where we map semantic features (e.g., rele-vance, related queries) to the canvas‟ spatial dimensions (e.g., x, y, z) in a way that allows for several levels of en-gagement – from passively viewing a stream of images, to seamlessly navigating through the semantic space and ac-tively collecting images for sharing and reuse. We have implemented our system as a fully functioning prototype, and we report on promising, preliminary usage results.}, institution = {Microsoft Research}, url = {http://research.microsoft.com/apps/pubs/?id=141701}, year = {2010} }