A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Different Learning Strategies in a Case-Based Reasoning System for Image Interpretation
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Why Case-Based Reasoning Is Attractive for Image Interpretation
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Prototype-based classification
Applied Intelligence
Watershed segmentation via case-based reasoning
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Salient region detection and segmentation
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Using hidden scale for salient object detection
IEEE Transactions on Image Processing
Salient object detection using a fuzzy theoretic approach
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Visual saliency guided video compression algorithm
Image Communication
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Automatic salient region detection in an image is useful for image compression, image cropping for resizing on smaller displays, object recognition and tracking. In this paper case-based reasoning is used to make a system learn the relevant attributes of a salient region, based on global and local color contrast. CIELab colorspace is used as it is perceptually uniform and matches the human visual perception. The parameters used are background colors at the boundary, color distance, spatial variance, size of the connected components of salient color and dominant colors. Intensity values are used to deal with images containing black and white shades. Exemplar images are presented to the system to categorize the cases. The method is tested on a large image database.