Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Recognizing Surfaces Using Three-Dimensional Textons
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Object Categorization by Learned Universal Visual Dictionary
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Visual cue cluster construction via information bottleneck principle and kernel density estimation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Categorization in multiple category systems
ICML '06 Proceedings of the 23rd international conference on Machine learning
Review: Which is the best way to organize/classify images by content?
Image and Vision Computing
A survey of methods for image annotation
Journal of Visual Languages and Computing
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
Pattern Recognition Letters
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Material-specific adaptation of color invariant features
Pattern Recognition Letters
Latent mixture vocabularies for object categorization and segmentation
Image and Vision Computing
Learning non-redundant codebooks for classifying complex objects
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Basic Image Features (BIFs) Arising from Approximate Symmetry Type
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Class Representative Visual Words for Category-Level Object Recognition
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Concept-Specific Visual Vocabulary Construction for Object Categorization
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Visual word pairs for automatic image annotation
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Novel Gaussianized vector representation for improved natural scene categorization
Pattern Recognition Letters
A study of vocabularies for image annotation
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
A low-dimensional local descriptor incorporating TPS warping for image matching
Image and Vision Computing
Category sensitive codebook construction for object category recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Measuring conceptual relation of visual words for visual categorization
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Semantics-preserving bag-of-words models and applications
IEEE Transactions on Image Processing
Towards extensible automatic image annotation with the bag-of-words approach
Proceedings of the international workshop on Very-large-scale multimedia corpus, mining and retrieval
Learning moods and emotions from color combinations
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Optimal operations for visual categorization
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Building descriptive and discriminative visual codebook for large-scale image applications
Multimedia Tools and Applications
Towards a more discriminative and semantic visual vocabulary
Computer Vision and Image Understanding
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Image classification using spatial pyramid coding and visual word reweighting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Adaptive learning codebook for action recognition
Pattern Recognition Letters
Region Contextual Visual Words for scene categorization
Expert Systems with Applications: An International Journal
An Efficient Approach to Semantic Segmentation
International Journal of Computer Vision
Refining local descriptors by embedding semantic information for visual categorization
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Content-based trust and bias classification via biclustering
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
Building implicit dictionaries based on extreme random clustering for modality recognition
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Supervised learning of Gaussian mixture models for visual vocabulary generation
Pattern Recognition
Entropy based supervised merging for visual categorization
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Discriminative codebook learning for Web image search
Signal Processing
q-Gaussian mixture models based on non-extensive statistics for image and video semantic indexing
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
q-Gaussian mixture models for image and video semantic indexing
Journal of Visual Communication and Image Representation
Image Classification with the Fisher Vector: Theory and Practice
International Journal of Computer Vision
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Several state-of-the-art Generic Visual Categorization (GVC) systems are built around a vocabulary of visual terms and characterize images with one histogram of visual word counts. We propose a novel and practical approach to GVC based on a universal vocabulary, which describes the content of all the considered classes of images, and class vocabularies obtained through the adaptation of the universal vocabulary using class-specific data. An image is characterized by a set of histograms – one per class – where each histogram describes whether the image content is best modeled by the universal vocabulary or the corresponding class vocabulary. It is shown experimentally on three very different databases that this novel representation outperforms those approaches which characterize an image with a single histogram.