Saliency, Scale and Image Description
International Journal of Computer Vision
An Affine Invariant Interest Point Detector
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Affine Region Detectors
International Journal of Computer Vision
A new feature extractor invariant to intensity, rotation, and scaling of color images
Information Sciences: an International Journal
Invariant salient regions based image retrieval under viewpoint and illumination variations
Journal of Visual Communication and Image Representation
Detection of visual attention regions in images using robust subspace analysis
Journal of Visual Communication and Image Representation
Soft clustering for nonparametric probability density function estimation
Pattern Recognition Letters
Spatio-temporal shape contexts for human action retrieval
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Image matching using enclosed region detector
Journal of Visual Communication and Image Representation
A visual shape descriptor using sectors and shape context of contour lines
Information Sciences: an International Journal
A generalized coding artifacts and noise removal algorithm for digitally compressed video signals
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Multi-spectral saliency detection
Pattern Recognition Letters
Tag-Saliency: Combining bottom-up and top-down information for saliency detection
Computer Vision and Image Understanding
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In this paper, we present a number of enhancements to the Kadir/Brady salient region detector which result in a significant improvement in performance. The modifications we make include: stabilising the difference between consecutive scales when calculating the inter-scale saliency, a new sampling strategy using overlap of pixels, partial volume estimation and parzen windowing. Repeatability is used as the criterion for evaluating the performance of the algorithm. We observe the repeatability for distinctive regions selected from an image and from the same image after applying a particular transformation. The transformations we use include planar rotation, pixel translation, spatial scaling, and intensity shifts and scaling. Experimental results show that the average repeatability rate is improved from 46% to approximately 78% when all the enhancements are applied. We also compare our algorithm with other region detectors on a set of sequences of real images, and our detector outperforms most of the state of the art detectors.