Representation of local geometry in the visual system
Biological Cybernetics
Context-free attentional operators: the generalized symmetry transform
International Journal of Computer Vision - Special issue on qualitative vision
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern recognition in images by symmetries and coordinate transformations
Computer Vision and Image Understanding
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grouping ., -, →, 0 - , into regions, curves, and junctions
Computer Vision and Image Understanding - Special issue on perceptual organization in computer vision
A Comparison of Measures for Detecting Natural Shapes in Cluttered Backgrounds
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Globally Optimal Regions and Boundaries as Minimum Ratio Weight Cycles
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Local Features for Image Retrieval
State-of-the-Art in Content-Based Image and Video Retrieval [Dagstuhl Seminar, 5-10 December 1999]
Differential Invariants for Color Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Focus-of-Attention from Local Color Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge and Corner Detection by Photometric Quasi-Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust photometric invariant features from the color tensor
IEEE Transactions on Image Processing
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
A comparison of color features for visual concept classification
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Multiobjective design of operators that detect points of interest in images
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Automated design of image operators that detect interest points
Evolutionary Computation
Content-based image retrieval using visually significant point features
Fuzzy Sets and Systems
Salient region detection by modeling distributions of color and orientation
IEEE Transactions on Multimedia
An automatic image browsing technique for small display users
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Where are focused places of a photo?
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Isocentric color saliency in images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
EVEREVIS: event recognizer in video scenes
Proceedings of the International Conference on Advanced Visual Interfaces
Tag suggestion using visual content and social tag
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Region-based annotation of digital photographs
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Spatial codebooks for image categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Recent advances and trends in visual tracking: A review
Neurocomputing
Bag-of-colors for improved image search
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Saliency from hierarchical adaptation through decorrelation and variance normalization
Image and Vision Computing
Modulating Shape Features by Color Attention for Object Recognition
International Journal of Computer Vision
Non-local spatial redundancy reduction for bottom-up saliency estimation
Journal of Visual Communication and Image Representation
Interactive volume illustration using intensity filtering
Computational Aesthetics'10 Proceedings of the Sixth international conference on Computational Aesthetics in Graphics, Visualization and Imaging
Obscurance-based volume rendering framework
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
Quaternion based optical flow estimation for robust object tracking
Digital Signal Processing
Object reading: text recognition for object recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Two-layer average-to-peak ratio based saliency detection
Image Communication
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Con-text: text detection using background connectivity for fine-grained object classification
Proceedings of the 21st ACM international conference on Multimedia
Background subtraction using hybrid feature coding in the bag-of-features framework
Pattern Recognition Letters
Color boosted visual saliency detection and its application to image classification
Multimedia Tools and Applications
| Hi-index | 0.14 |
The aim of salient feature detection is to find distinctive local events in images. Salient features are generally determined from the local differential structure of images. They focus on the shape-saliency of the local neighborhood. The majority of these detectors are luminance-based, which has the disadvantage that the distinctiveness of the local color information is completely ignored in determining salient image features. To fully exploit the possibilities of salient point detection in color images, color distinctiveness should be taken into account in addition to shape distinctiveness. In this paper, color distinctiveness is explicitly incorporated into the design of saliency detection. The algorithm, called color saliency boosting, is based on an analysis of the statistics of color image derivatives. Color saliency boosting is designed as a generic method easily adaptable to existing feature detectors. Results show that substantial improvements in information content are acquired by targeting color salient features.