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What Energy Functions Can Be Minimized via Graph Cuts?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Probability Estimates for Multi-class Classification by Pairwise Coupling
The Journal of Machine Learning Research
Face Verification Using GaborWavelets and AdaBoost
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
Proceedings of the 30th DAGM symposium on Pattern Recognition
International Journal of Computer Vision
Feature Extraction & Image Processing, Second Edition
Feature Extraction & Image Processing, Second Edition
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
LSD: A Fast Line Segment Detector with a False Detection Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
EdgeSonic: image feature sonification for the visually impaired
Proceedings of the 2nd Augmented Human International Conference
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Man-made structure detection in natural images using a causal multiscale random field
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Support vector random fields for spatial classification
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Segmenting brain tumors with conditional random fields and support vector machines
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Sonification of images for the visually impaired using a multi-level approach
Proceedings of the 4th Augmented Human International Conference
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This paper presents two learning based algorithms that are designed for the purpose of extracting and processing suitable information in images for the visually impaired. Both algorithms are developed to be used within a specific modular sonification system. This system is designed to allow visually impaired people to explore images, actively on a touch screen, and to receive an auditory response about the image content at any current finger position. The first algorithm presented in this paper therefore addresses the problem of labeling regions within images, incorporating spatial dependencies. The second algorithm strives to alleviate the rejection of false object detections before sonification. This is crucial to avoid confusion on the side of the blind user, who can not check for a correct image labeling or object detection visually. Due to the modular design principle of the modular sonification system, both algorithms can be incorporated easily and efficiently.