TY - GEN
T1 - Imagegrouper
T2 - 5th International Conference on Visual Information Systems, VISUAL 2002
AU - Nakazato, Munehiro
AU - Manola, Lubomir
AU - Huang, Thomas S.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
PY - 2002
Y1 - 2002
N2 - In Content-based Image Retrieval (CBIR), trial-and-error query is essential for successful retrieval. Unfortunately, the traditional user interfaces are not suitable for trying different combinations of query examples. This is because first, these systems assume query examples are added incrementally. Second, the query specification and result display are done on the same workspace. Once the user removes an image from the query examples, the image may disappear from the user interface. In addition, it is difficult to combine the result of different queries. In this paper, we propose a new interface for Content-based image retrieval named ImageGrouper. In our system, the users can interactively compare different combinations of query examples by dragging and grouping images on the workspace (Query-by-Group.) Because the query results are displayed on another pane, the user can quickly review the results. Combining different queries is also easy. Furthermore, the concept of “image groups” is also applied to annotating and organizing a large number of images.
AB - In Content-based Image Retrieval (CBIR), trial-and-error query is essential for successful retrieval. Unfortunately, the traditional user interfaces are not suitable for trying different combinations of query examples. This is because first, these systems assume query examples are added incrementally. Second, the query specification and result display are done on the same workspace. Once the user removes an image from the query examples, the image may disappear from the user interface. In addition, it is difficult to combine the result of different queries. In this paper, we propose a new interface for Content-based image retrieval named ImageGrouper. In our system, the users can interactively compare different combinations of query examples by dragging and grouping images on the workspace (Query-by-Group.) Because the query results are displayed on another pane, the user can quickly review the results. Combining different queries is also easy. Furthermore, the concept of “image groups” is also applied to annotating and organizing a large number of images.
UR - http://www.scopus.com/inward/record.url?scp=84930454565&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84930454565&partnerID=8YFLogxK
U2 - 10.1007/3-540-45925-1_12
DO - 10.1007/3-540-45925-1_12
M3 - Conference contribution
AN - SCOPUS:84930454565
SN - 3540433589
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 129
EP - 142
BT - Recent Advances in Visual Information Systems - 5th International Conference, VISUAL 2002, Proceedings
A2 - Chang, Shi-Kuo
A2 - Chen, Zen
A2 - Lee, Suh-Yin
PB - Springer
Y2 - 11 March 2002 through 13 March 2002
ER -