Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding

concept form search query vision confirm consensus refine search query graphics VIE-designer image objects image objects Visual Sign (VIE) run search query words images Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding Supriya Garg, Tamara Berg, Klaus Mueller Computer Science Department, Stony Brook University ABSTR ACT The power of visualization is driven by the fact that humans are able to detect patterns much better with visual representations than with textual ones, enables more complex reasoning processes. Currently the degree of semantics encoded in these visual representations is quite limited. The use of icons as a form of information encoding has not been sufficiently explored. Typically graphs in visual analytics use standard icons from a fixed icon gallery or an actual picture. Here we describe a framework that uses a dual domain approach involving natural language processing and global image databases to help users meta...

• Type: Conference
• Year: 2009
• Where: VIS
• Authors: Supriya Garg, Tamara Berg, Klaus Mueller
• Keywords: Objects Visual Sign, VIS 2009, Visual Analytics Applications, Visual Representations, Visualization