Bag-of-words model in computer vision

Known as: Bag of visual words, Bag of features model in computer vision, Bag of visual words model 
In computer vision, the bag-of-words model (BoW model) can be applied to image classification, by treating image features as words. In document… (More)
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Video based action recognition is one of the important and challenging problems in computer vision research. Bag of visual words… (More)
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2016
2016
Bag-of-Words (BoW) histogram of local space-time features is very popular for action representation due to its high compactness… (More)
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2015
2015
The Bag-of-Words (BoW) framework is well-known in image classification. In the framework, there are two essential steps: 1… (More)
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Highly Cited
2010
Highly Cited
2010
We investigate bag-of-visual-words (BOVW) approaches to land-use classification in high-resolution overhead imagery. We consider… (More)
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Highly Cited
2010
Highly Cited
2010
This letter presents a Bag-of-Visual Words (BOV) representation for object-based classification in land-use/cover mapping of high… (More)
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Highly Cited
2010
Highly Cited
2010
The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One… (More)
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2009
2009
The Bag-of-Words (BoW) model is a promising image representation for annotation. One critical limitation of existing BoW models… (More)
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Highly Cited
2008
Highly Cited
2008
We present a method to classify images into different categories of pornographic content to create a system for filtering… (More)
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Highly Cited
2007
Highly Cited
2007
Based on keypoints extracted as salient image patches, an image can be described as a "bag of visual words" and this… (More)
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Highly Cited
2006
Highly Cited
2006
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic… (More)
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