A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Attentional Selection for Object Recognition A Gentle Way
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Visual attention detection in video sequences using spatiotemporal cues
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A computer vision model for visual-object-based attention and eye movements
Computer Vision and Image Understanding
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Selective visual attention enables learning and recognition of multiple objects in cluttered scenes
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Assessing the contribution of color in visual attention
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Dynamic visual attention on the sphere
Computer Vision and Image Understanding
Salient region detection and segmentation
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
A framework for visual-context-aware object detection in still images
Computer Vision and Image Understanding
Directional binary code with application to PolyU near-infrared face database
Pattern Recognition Letters
Images as sets of locally weighted features
Computer Vision and Image Understanding
Multi-spectral SIFT for scene category recognition
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Global contrast based salient region detection
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Unsupervised extraction of visual attention objects in color images
IEEE Transactions on Circuits and Systems for Video Technology
Hyperspectral image classification with hypergraph modelling
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Multi-spectral saliency detection
Pattern Recognition Letters
Neurocomputing
Neurocomputing
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Saliency detection has been researched a lot in recent years. Traditional methods are mostly conducted and evaluated on conventional RGB images. Few work has considered the incorporation of multi-spectral clues. Considering the success of including near-infrared spectrum in applications such as face recognition and scene categorization, this paper presents a multi-spectral dataset and applies it in saliency detection. Experiments demonstrate that the incorporation of near-infrared band is effective in the saliency detection procedure. We also test the combinational models for integrating visible and near-infrared bands. Results show that there is no single model to effect on every saliency detection method. Models should be selected according to the specific employed method.