Title: Mosaic feedback for sketch training and retrieval improvement
Abstract:The results of queries in image databases are usually presented as a thumbnail list. Subsequently, each of these images can be used for refinement of the initial query. This approach is however not su...The results of queries in image databases are usually presented as a thumbnail list. Subsequently, each of these images can be used for refinement of the initial query. This approach is however not suitable for queries by sketch: in order to receive the desired images the user has to recognise misleading areas of the sketch and to modify these appropriately. This is a non-trivial problem, especially for users with limited expertise in image retrieval and when complex features are used for the image description and comparison. Therefore, this paper presents a mosaic-based technique for sketch feedback, which combines the best sections of the database into a single image. An analysis of individual sections and the linked target images shows, which areas of the sketch lead to poor results and should be modified. Performance measurements show a significant increase of the recall rate.Read More
Publication Year: 2003
Publication Date: 2003-06-25
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
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