TY - GEN
T1 - Iconizer
T2 - 11th International Symposium on Smart Graphics, SG 2011
AU - Garg, Supriya
AU - Berg, Tamara
AU - Mueller, Klaus
PY - 2011
Y1 - 2011
N2 - The majority of visual communication today occurs by ways of spatial groupings, plots, graphs, data renderings, photographs and video frames. However, the degree of semantics encoded in these visual representations is still quite limited. The use of icons as a form of information encoding has been explored to a much lesser extent. In this paper we describe a framework that uses a dual domain approach involving natural language text processing and global image databases to help users identify icons suitable to visually encode abstract semantic concepts.
AB - The majority of visual communication today occurs by ways of spatial groupings, plots, graphs, data renderings, photographs and video frames. However, the degree of semantics encoded in these visual representations is still quite limited. The use of icons as a form of information encoding has been explored to a much lesser extent. In this paper we describe a framework that uses a dual domain approach involving natural language text processing and global image databases to help users identify icons suitable to visually encode abstract semantic concepts.
KW - human-computer interaction
KW - non-photorealistic rendering
UR - https://www.scopus.com/pages/publications/79960720282
U2 - 10.1007/978-3-642-22571-0_7
DO - 10.1007/978-3-642-22571-0_7
M3 - Conference contribution
AN - SCOPUS:79960720282
SN - 9783642225703
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 78
EP - 90
BT - Smart Graphics - 11th International Symposium, SG 2011, Proceedings
Y2 - 18 July 2011 through 20 July 2011
ER -