Saliency, Scale and Image Description
International Journal of Computer Vision
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Contextual Priming for Object Detection
International Journal of Computer Vision
Unsupervised Learning of Models for Recognition
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Configuration based scene classification and image indexing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
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
A Hierarchical Field Framework for Unified Context-Based Classification
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Supervised Learning Framework for Generic Object Detection in Images
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Feature combination using boosting
Pattern Recognition Letters
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Object and Scene Classification: what does a Supervised Approach Provide us?
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Effective feature selection scheme using mutual information
Neurocomputing
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Image Annotation by Graph-Based Inference With Integrated Multiple/Single Instance Representations
IEEE Transactions on Multimedia
Learning multi-scale block local binary patterns for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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In this paper, we present a new method of image classification based on local appearance and context information. At first, informative or representative local features are selected based on SVM classifier; and then the related visual context information are extracted to keep the robustness to object occlusion and background clutter. Finally, general probabilistic models are built to implement image classification by integrating local invariant characteristics and context information. Experimental results show that the proposed method can outperform other previous methods on several datasets with limited and unnormalized training samples even for large scale classes of objects, therefore the significance of appearance-based discriminative classifiers is demonstrated and confirmed.