A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
Salient region detection and segmentation
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Content-aware video resizing based on salient visual cubes
Journal of Visual Communication and Image Representation
Salient region detection by jointly modeling distinctness and redundancy of image content
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Extracting detected salient object by active segmentation
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Saliency-based image retargeting in the compressed domain
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Nonparametric bottom-up saliency detection using hypercomplex spectral contrast
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Patchwise scaling method for content-aware image resizing
Signal Processing
Seam carving with forward gradient difference maps
Proceedings of the 20th ACM international conference on Multimedia
Salient object detection: a benchmark
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Salient object detection using a fuzzy theoretic approach
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Color image segmentation based on regional saliency
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Global contrast of superpixels based salient region detection
CVM'12 Proceedings of the First international conference on Computational Visual Media
Saliency detection based on integrated features
Neurocomputing
Top-Down Saliency Detection via Contextual Pooling
Journal of Signal Processing Systems
Neurocomputing
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Content aware image re-targeting methods aim to arbitrarily change image aspect ratios while preserving visually prominent features. To determine visual importance of pixels, existing re-targeting schemes mostly rely on grayscale intensity gradient maps. These maps show higher energy only at edges of objects, are sensitive to noise, and may result in deforming salient objects. In this paper, we present a computationally efficient, noise robust re-targeting scheme based on seam carving by using saliency maps that assign higher importance to visually prominent whole regions (and not just edges). This is achieved by computing global saliency of pixels using intensity as well as color features. Our saliency maps easily avoid artifacts that conventional seam carving generates and are more robust in the presence of noise. Also, unlike gradient maps, which may have to be recomputed several times during a seam carving based re-targeting operation, our saliency maps are computed only once independent of the number of seams added or removed.