Block-quantized kernel matrix for fast spectral embedding
ICML '06 Proceedings of the 23rd international conference on Machine learning
Inappropriateness of the criterion of k-way normalized cuts for deciding the number of clusters
Pattern Recognition Letters
Combining stroke-based and selection-based relevance feedback for content-based image retrieval
Proceedings of the 15th international conference on Multimedia
Combination of Multiple Segmentations by a Random Walker Approach
Proceedings of the 30th DAGM symposium on Pattern Recognition
CONTEST: A Controllable Test Matrix Toolbox for MATLAB
ACM Transactions on Mathematical Software (TOMS)
Weakly Supervised Object Localization with Stable Segmentations
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Edge Detection from Global and Local Views Using an Ensemble of Multiple Edge Detectors
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Ensemble one-class support vector machines for content-based image retrieval
Expert Systems with Applications: An International Journal
Segmentation using Appearance of Mesostructure Roughness
International Journal of Computer Vision
Color learning and illumination invariance on mobile robots: A survey
Robotics and Autonomous Systems
Hierarchical multiple Markov chain model for unsupervised texture segmentation
IEEE Transactions on Image Processing
Patch Growing: Object segmentation using spatial coherence of local patches
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Patch Growing: Object segmentation using spatial coherence of local patches
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Hybrid Framework to Image Segmentation
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Graph-based robust shape matching for robotic application
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A shadow elimination method for vehicle analysis based on random walk
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Corpus callosum MR image classification
Knowledge-Based Systems
International Journal of Computer Vision
Bottom-up recognition and parsing of the human body
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Characterizing spatio-temporal patterns for disease discrimination in cardiac echo videos
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Region-based all-in-focus light field rendering
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Scene image segmentation based on perceptual organization
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A framework for perceptual image analysis
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
A Bayesian framework for image segmentation with spatially varying mixtures
IEEE Transactions on Image Processing
Cascaded models for articulated pose estimation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Simultaneous segmentation and figure/ground organization using angular embedding
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Finding semantic structures in image hierarchies using Laplacian graph energy
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Figure-ground image segmentation helps weakly-supervised learning of objects
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Using local density information to improve IB algorithms
Pattern Recognition Letters
Segmentation subject to stitching constraints: finding many small structures in a large image
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Spectral aggregation based on iterative graph cut for sonographic breast image segmentation
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Recovering Occlusion Boundaries from an Image
International Journal of Computer Vision
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Image segmentation using quadtree-based similarity graph and normalized cut
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Automatically finding clusters in normalized cuts
Pattern Recognition
Logistic Stick-Breaking Process
The Journal of Machine Learning Research
Efficient clustering earth mover's distance
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Segmentation via ncuts and lossy minimum description length: a unified approach
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Segmentation based tone-mapping for high dynamic range images
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Segmentation of Natural Images by Texture and Boundary Compression
International Journal of Computer Vision
Image segmentation using normalized cuts and efficient graph-based segmentation
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
A non-intrusive method for copy-move forgery detection
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Spectral clustering: A semi-supervised approach
Neurocomputing
Dirichlet Gaussian mixture model: Application to image segmentation
Image and Vision Computing
A faster graph-based segmentation algorithm with statistical region merge
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Weighted adaptive neighborhood hypergraph partitioning for image segmentation
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Multicue graph mincut for image segmentation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Numerical aspects of spectral segmentation on polygonal grids
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
Human action recognition and localization in video at contextual level
ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management
Grouping objects in multi-band images using an improved eigenvector-based algorithm
Mathematical and Computer Modelling: An International Journal
Shape-Based Object Detection via Boundary Structure Segmentation
International Journal of Computer Vision
MDS-based segmentation model for the fusion of contour and texture cues in natural images
Computer Vision and Image Understanding
Multimedia features for click prediction of new ads in display advertising
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Computational Aesthetics'08 Proceedings of the Fourth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Fast planar correlation clustering for image segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Learning-Based symmetry detection in natural images
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Technical Section: Perceptual 3D rendering based on principles of analytical cubism
Computers and Graphics
An evolutionary and graph-based method for image segmentation
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Texture segmentation based on neuronal activation degree of visual model
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Spectral Image Segmentation Using Image Decomposition and Inner Product-Based Metric
Journal of Mathematical Imaging and Vision
A genetic algorithm for color image segmentation
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Skin lesion image segmentation using a color genetic algorithm
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
A Swarm Intelligence inspired algorithm for contour detection in images
Applied Soft Computing
A new evaluation measure for color image segmentation based on genetic programming approach
Image and Vision Computing
Efficient segmentation of leaves in semi-controlled conditions
Machine Vision and Applications
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We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image processing, this algorithm works on multiple scales of the image in parallel, without iteration, to capture both coarse and fine level details. The algorithm is computationally efficient, allowing to segment large images. We use the Normalized Cut graph partitioning framework of image segmentation. We construct a graph encoding pairwise pixel affinity, and partition the graph for image segmentation.We demonstrate that large image graphs can be compressed into multiple scales capturing image structure at increasingly large neighborhood. We show that the decomposition of the image segmentation graph into different scales can be determined by ecological statistics on the image grouping cues. Our segmentation algorithm works simultaneously across the graph scales, with an inter-scale constraint to ensure communication and consistency between the segmentations at each scale. As the results show, we incorporate long-range connections with linear-time complexity, providing high-quality segmentations efficiently. Images that previously could not be processed because of their size have been accurately segmented thanks to this method.