International Journal of Computer Vision
Object Recognition Using Multidimensional Receptive Field Histograms
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Region Queries without Segmentation for Image Retrieval by Content
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
ImageRover: A Content-Based Image Browser for the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Percentile Blobs for Image Similarity
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Configuration based scene classification and image indexing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multiple Example Queries in Content-Based Image Retrieval
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Image Retrieval by Regions: Coarse Segmentation and Fine Color Description
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Multiple Regions and Their Spatial Relationship-Based Image Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
A Method of the Extraction of Texture Feature
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
A region based image matching method with regularized SAR model
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
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With the proliferation of multimedia, the web and digital imaging, there now exists a high demand for intelligent tools for image management; most importantly indexing and retrieval - commonly referred to as "query-by-image-content". Existing systems often make use of global attributes such as overall color distributions which ignore the actual composition of the image in terms of internal structures. In this paper we present an experimental image retrieval system designed and based on the principle that it is the user who is most qualified to specify the "content" in an image and not the computer. Consequently, the user is asked to provide salient "regions-of-interest" (ROIs) and to specify the importance of their relative spatial relationships in the query image. Our technique has lead to acceptable retrievals (equal if not better than global-based searches) and provides an intuitive user-interface and more flexibility in specifying image content.