Spatially Enhanced Bags of Words for 3D Shape Retrieval
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Drosophila gene expression pattern annotation using sparse features and term-term interactions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Foundations and Trends in Information Retrieval
Recognition of faces in unconstrained environments: a comparative study
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Descriptive visual words and visual phrases for image applications
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Real-time bag of words, approximately
Proceedings of the ACM International Conference on Image and Video Retrieval
Efficient Object Pixel-Level Categorization Using Bag of Features
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
LSH-RANSAC: an incremental scheme for scalable localization
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Unsupervised human motion analysis using automatic label trees
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Incremental indexing and distributed image search using shared randomized vocabularies
Proceedings of the international conference on Multimedia information retrieval
New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative
Proceedings of the international conference on Multimedia information retrieval
International Journal of Computer Vision
3D Part identification based on local shape descriptors
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Visual event recognition using decision trees
Multimedia Tools and Applications
EURASIP Journal on Advances in Signal Processing - Special issue on advances in multidimensional synthetic aperture radar signal processing
Automatic bioindicator images evaluation
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
Building contextual visual vocabulary for large-scale image applications
Proceedings of the international conference on Multimedia
Real-Time Object Segmentation Using a Bag of Features Approach
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Randomized locality sensitive vocabularies for bag-of-features model
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Building descriptive and discriminative visual codebook for large-scale image applications
Multimedia Tools and Applications
A unified context assessing model for object categorization
Computer Vision and Image Understanding
A hybrid supervised-unsupervised vocabulary generation algorithm for visual concept recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Image classification using spatial pyramid coding and visual word reweighting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Face recognition with decision tree-based local binary patterns
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Learning reconfigurable hashing for diverse semantics
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Instant Bag-of-Words served on a laptop
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Supervised visual vocabulary with category information
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Efficient content-based image retrieval using Multiple Support Vector Machines Ensemble
Expert Systems with Applications: An International Journal
Inexact graph matching based on kernels for object retrieval in image databases
Image and Vision Computing
Bilinear deep learning for image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Efficient and Effective Visual Codebook Generation Using Additive Kernels
The Journal of Machine Learning Research
Incremental visual objects clustering with the growing vocabulary tree
Multimedia Tools and Applications
Categorization of multiple objects in a scene without semantic segmentation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Integrating wavelets with clustering and indexing for effective content-based image retrieval
Knowledge-Based Systems
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
International Journal of Computer Vision
SUPER: towards real-time event recognition in internet videos
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
On Taxonomies for Multi-class Image Categorization
International Journal of Computer Vision
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
Journal of Intelligent and Robotic Systems
Grass, scrub, trees and random forest
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
Towards measuring the visualness of a concept
Proceedings of the 21st ACM international conference on Information and knowledge management
treeKL: A distance between high dimension empirical distributions
Pattern Recognition Letters
Visual recognition using local quantized patterns
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Propagative hough voting for human activity recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Contextual object detection using set-based classification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Enhanced representation and multi-task learning for image annotation
Computer Vision and Image Understanding
Randomness and sparsity induced codebook learning with application to cancer image classification
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
Exclusive visual descriptor quantization
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Multi-class learning from class proportions
Neurocomputing
Object class detection: A survey
ACM Computing Surveys (CSUR)
Learning descriptive visual representation by semantic regularized matrix factorization
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Pattern Recognition Letters
Image categorization using a semantic hierarchy model with sparse set of salient regions
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Some of the most effective recent methods for content-based image classification work by quantizing image descriptors, and accumulating histograms of the resulting visual word codes. Large numbers of descriptors and large codebooks are required for good results and this becomes slow using k-means. We introduce Extremely Randomized Clustering Forests - ensembles of randomly created clustering trees - and show that they provide more accurate results, much faster training and testing, and good resistance to background clutter. Second, an efficient image classification method is proposed. It combines ERC-Forests and saliency maps very closely with the extraction of image information. For a given image, a classifier builds a saliency map online and uses it to classify the image. We show in several state-of-the-art image classification tasks that this method can speed up the classification process enormously. Finally, we show that the proposed ERC-Forests can also be used very successfully for learning distance between images. The distance computation algorithm consists of learning the characteristic differences between local descriptors sampled from pairs of same or different objects. These differences are vector quantized by ERC-Forests and the similarity measure is computed from this quantization. The similarity measure has been evaluated on four very different datasets and always outperforms the state-of-the-art competitive approaches.