Contextual exemplar classifier-based image representation for classification
The use of local features for image representation has become popular in recent years.
Local features are often used in the bag-of-visual-words scheme. Although proven effective …
Local features are often used in the bag-of-visual-words scheme. Although proven effective …
Towards effective image classification using class-specific codebooks and distinctive local features
UL Altintakan, A Yazici - IEEE Transactions on Multimedia, 2015 - ieeexplore.ieee.org
Local image features, which are robust to scale, view, and orientation changes in images,
play a key factor in developing effective visual classification systems. However, there are two …
play a key factor in developing effective visual classification systems. However, there are two …
Birds of a feather flock together: Visual representation with scale and class consistency
There are three problems with a local-feature based representation scheme. First, local
regions are often densely extracted or determined through detection without considering the …
regions are often densely extracted or determined through detection without considering the …
Joint dictionary and classifier learning for categorization of images using a max-margin framework
Abstract The Bag-of-Visual-Words (BoVW) model is a popular approach for visual
recognition. Used successfully in many different tasks, simplicity and good performance are …
recognition. Used successfully in many different tasks, simplicity and good performance are …
Boosted random contextual semantic space based representation for visual recognition
Visual information has been widely used for image representation. Although proven very
effective, the visual representation lacks explicit semantics. However, how to generate a …
effective, the visual representation lacks explicit semantics. However, how to generate a …
Bundled local features for image representation
Local features have been widely used for image representation. Traditional methods often
treat each local feature independently or simply model the correlations of local features with …
treat each local feature independently or simply model the correlations of local features with …
Incremental codebook adaptation for visual representation and categorization
The bag-of-visual-words model is widely used for visual content analysis. For visual data,
the codebook plays an important role for efficient representation. However, the codebook …
the codebook plays an important role for efficient representation. However, the codebook …
Bag-of-words image representation: Key ideas and further insight
In the context of object and scene recognition, state-of-the-art performances are obtained
with visual Bag-of-Words (BoW) models of mid-level representations computed from dense …
with visual Bag-of-Words (BoW) models of mid-level representations computed from dense …
Fisher vectors meet neural networks: a hybrid visual classification architecture
FC Perronnin, D Larlus-Larrondo - US Patent 9,514,391, 2016 - Google Patents
BACKGROUND The following relates to camera-based Survey systems to monitor road
usage or the like, quality control inspection systems, and other computer vision tasks; and to …
usage or the like, quality control inspection systems, and other computer vision tasks; and to …
Image classification with multiple feature channels
In this paper, we propose a framework for image classification. An image is represented by
multiple feature channels which are computed by the bag-of-words model and organized in …
multiple feature channels which are computed by the bag-of-words model and organized in …