@techreport{jampani2010imageflow,
author = {Jampani, Varun and Ramos, Gonzalo and Drucker, Steven},
title = {ImageFlow: Streaming Image Search},
year = {2010},
month = {November},
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 explores 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., relevance, related queries) to the canvas' spatial dimensions (e.g., x, y, z) in a way that allows for several levels of engagement – from passively viewing a stream of images, to seamlessly navigating through the semantic space and actively collecting images for sharing and reuse. We have implemented our system as a fully functioning prototype, and we report on promising, preliminary usage results.},
publisher = {Microsoft Research},
url = {http://approjects.co.za/?big=en-us/research/publication/imageflow-streaming-image-search/},
number = {MSR-TR-2010-148},
}