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.
ImageGrouper is a new user interface for digital image search and organization. It is group-oriented in that image search, annotation and organizing are done by grouping images on the workspace. This enables faster and flexible text annotation on a large number of images as well as effective image organization. In addition, this interface improves and extends Content-Based Image Retrieval (CBIR) as well. First, finding good combinations of query examples is essential for successful retrieval. Query-byGroups concept allows the user to try different combinations of query examples quickly and easily. Second, because of semantic gap between the user's concept and extracted visual features, it may be difficult to represent the user's request by only one class of query examples. We propose a new feature-weighting scheme where the user's request can be expressed in multiple positive classes.
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