Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contextual Priming for Object Detection
International Journal of Computer Vision
Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
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 Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Modeling Scenes with Local Descriptors and Latent Aspects
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A Texture-Based Method for Modeling the Background and Detecting Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
International Journal of Computer Vision
International Journal of Computer Vision
Review: Which is the best way to organize/classify images by content?
Image and Vision Computing
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Objective Evaluation of Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene Classification Using a Hybrid Generative/Discriminative Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Hierarchy of Textons Distributions for Scene Classification
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Learning scene context for multiple object tracking
IEEE Transactions on Image Processing
Statistical modeling and conceptualization of natural images
Pattern Recognition
A Bayesian network-based framework for semantic image understanding
Pattern Recognition
Novel Gaussianized vector representation for improved natural scene categorization
Pattern Recognition Letters
Evaluating Color Descriptors for Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building compact local pairwise codebook with joint feature space clustering
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Kernel sparse representation for image classification and face recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
CENTRIST: A Visual Descriptor for Scene Categorization
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Fuzzy local maximal marginal embedding for feature extraction
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Multi-scale gist feature manifold for building recognition
Neurocomputing
Image classification for content-based indexing
IEEE Transactions on Image Processing
Scene recognition and weakly supervised object localization with deformable part-based models
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Objects as attributes for scene classification
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
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Most of the current scene classification approaches are based on either low-level or semantic modeling strategies. However, the both strategies have some inherent weaknesses. The low-level modeling based approaches normally classify images into a small number of scene categories and often exhibit poor performance. And the semantic modeling strategies usually bring high computational cost and memory consumption. In this paper, we present a novel approach which retains the advantages of both the low-level and semantic modeling strategies, while at the same time getting over the weaknesses of these two strategies. To represent scene images more effectively, a new visual descriptor called GBPWHGO is introduced. Experimental results on six commonly used data sets demonstrate that our approach performs competitively against previous methods across all data sets, and the GBPWHGO descriptor outperforms the SIFT, LBP and Gist descriptors in scene classification.