A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Region-of-interest based image resolution adaptation for MPEG-21 digital item
Proceedings of the 12th annual ACM international conference on Multimedia
Robust subspace analysis for detecting visual attention regions in images
Proceedings of the 13th annual ACM international conference on Multimedia
A Coherent Computational Approach to Model Bottom-Up Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Salient region detection and tracking in video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Color image segmentation using density-based clustering
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Video retargeting: automating pan and scan
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Visual attention detection in video sequences using spatiotemporal cues
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Browsing large pictures under limited display sizes
IEEE Transactions on Multimedia
Video Adaptation for Small Display Based on Content Recomposition
IEEE Transactions on Circuits and Systems for Video Technology
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A generic virtual content insertion system based on visual attention analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Modeling Attention and Perceptual Grouping to Salient Objects
Attention in Cognitive Systems
Seam carving for enhancing image usability on mobiles
BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 2
Visual attention analysis by pseudo gravitational field
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Image retargeting using multi-map constrained region warping
MM '09 Proceedings of the 17th ACM international conference 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
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video
International Journal of Computer Vision
what is the chance of happening: a new way to predict where people look
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Algorithms for video retargeting
Multimedia Tools and Applications
Patchwise scaling method for content-aware image resizing
Signal Processing
A color saliency model for salient objects detection in natural scenes
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
How do warm colors affect visual attention?
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Computers in Human Behavior
Neurocomputing
Visual Saliency with Statistical Priors
International Journal of Computer Vision
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Visual attention has been a hot research point for many years and many new applications are emerging especially for wireless multimedia services. In this paper a novel region-based visual attention is proposed to detect the Regions of Interest (ROI) of images. In the proposed method, density based image segmentation is first performed by regarding region as the perceptive unit, which makes the model robust to the scale of ROIs and contains more perceptive information. To generate region saliency map to detect ROI, global effect and contextual difference are covered in the form of distance factor and adjacency factor respectively. Since different ROIs may have different importance for different purposes, a ROI ranking algorithm is designed for browsing large images on small displays. Experimental results and evaluation reveal that our method works effectively to detect ROIs from images and the users are satisfied with the browsing sequence on small displays.