The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neighborhood Preserving Embedding
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Orthogonal Neighborhood Preserving Projections
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
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
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis
The Journal of Machine Learning Research
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Least squares linear discriminant analysis
Proceedings of the 24th international conference on Machine learning
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
General Averaged Divergence Analysis
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Geometric Mean for Subspace Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Discriminant Locally Linear Embedding With High-Order Tensor Data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Biologically inspired feature manifold for gait recognition
Neurocomputing
Discrminative geometry preserving projections
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Evolutionary cross-domain discriminative hessian eigenmaps
IEEE Transactions on Image Processing
An integrated aurora image retrieval system: AuroraEye
Journal of Visual Communication and Image Representation
Variational inference with graph regularization for image annotation
ACM Transactions on Intelligent Systems and Technology (TIST)
Non-goal scene analysis for soccer video
Neurocomputing
Random projection tree and multiview embedding for large-scale image retrieval
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Focal biologically inspired feature for glaucoma type classification
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Difficulty guided image retrieval using linear multiview embedding
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Social image annotation via cross-domain subspace learning
Multimedia Tools and Applications
Realistic smile expression recognition using biologically inspired features
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Multi-scale gist feature manifold for building recognition
Neurocomputing
Texture analysis and classification: A complex network-based approach
Information Sciences: an International Journal
Biologically inspired task oriented gist model for scene classification
Computer Vision and Image Understanding
Building holistic descriptors for scene recognition: a multi-objective genetic programming approach
Proceedings of the 21st ACM international conference on Multimedia
G-Optimal Feature Selection with Laplacian regularization
Neurocomputing
Object class detection: A survey
ACM Computing Surveys (CSUR)
A local descriptor based on Laplacian pyramid coding for action recognition
Pattern Recognition Letters
Multiple spatial pooling for visual object recognition
Neurocomputing
Multi-objective optimization based color constancy
Applied Soft Computing
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Biologically inspired feature (BIF) and its variations have been demonstrated to be effective and efficient for scene classification. It is unreasonable to measure the dissimilarity between two BIFs based on their Euclidean distance. This is because BIFs are extrinsically very high dimensional and intrinsically low dimensional, i.e., BIFs are sampled from a low-dimensional manifold and embedded in a high-dimensional space. Therefore, it is essential to find the intrinsic structure of a set of BIFs, obtain a suitable mapping to implement the dimensionality reduction, and measure the dissimilarity between two BIFs in the low-dimensional space based on their Euclidean distance. In this paper, we study the manifold constructed by a set of BIFs utilized for scene classification, form a new dimensionality reduction algorithm by preserving both the geometry of intra BIFs and the discriminative information inter BIFs termed Discriminative and Geometry Preserving Projections (DGPP), and construct a new framework for scene classification. In this framework, we represent an image based on a new BIF, which combines the intensity channel, the color channel, and the C1 unit of a color image; then we project the high-dimensional BIF to a low-dimensional space based on DGPP; and, finally, we conduct the classification based on the multiclass support vector machine (SVM). Thorough empirical studies based on the USC scene dataset demonstrate that the proposed framework improves the classification rates around 100% relatively and the training speed 60 times for different sites in comparing with previous gist proposed by Siagian and Itti in 2007.