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On the Potential of Incorporating Knowledge of Human Visual Attention into Cbir Systems.

, , , and . ICME, page 773-776. IEEE Computer Society, (2006)

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Integrated global and object-based image retrieval using a multiple example query scheme., , , and . VISAPP (2), page 143-148. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2007)Bridging the interface gap in image retrieval, , , , and . Under review, (2007)An attention-based method for extracting salient regions of interest from stereo images, , , , and . International Conference on Computer Vision Theory and Applications (VISAPP), Barcelona, Spain, (March 2007)Automatic Image Thumbnailing Based on Fast Visual Saliency Detection., , , and . WebMedia, page 203-206. ACM, (2016)A Forward-Looking User Interface for CBIR and CFIR Systems., , , , and . ISM, page 779-780. IEEE Computer Society, (2006)On the Potential of Incorporating Knowledge of Human Visual Attention into Cbir Systems., , , and . ICME, page 773-776. IEEE Computer Society, (2006)An attention-driven model for grouping similar images with image retrieval applications, , , and . EURASIP Journal on Applied Signal Processing, Special Issue on Image Perception, (2007 (in press))Multiple testing correction over contrasts for brain imaging., , , and . NeuroImage, (2020)Using visual attention to extract regions of interest in the context of image retrieval., , , and . ACM Southeast Regional Conference, page 638-643. ACM, (2006)An unsupervised method for clustering images based on their salient regions of interest., , , and . ACM Multimedia, page 145-148. ACM, (2006)