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ImageGrouper: Search, annotate and organize images by groups. (English) Zbl 1051.68754

Chang, Shi-Kuo (ed.) et al., Recent advances in visual information systems. 5th international conference, VISUAL 2002, Hsin Chu, Taiwan, March 11–13, 2002. Proceedings. Berlin: Springer (ISBN 3-540-43358-9). Lect. Notes Comput. Sci. 2314, 129-142 (2002).
Summary: 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.
For the entire collection see [Zbl 0992.68523].

MSC:

68U99 Computing methodologies and applications
68U35 Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.)
68P20 Information storage and retrieval of data
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