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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… 
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Related topics

Related topics

18 relations
AdaBoostBag-of-words modelComputer visionConfusion matrix

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Fast Binary Coding for the Scene Classification of High-Resolution Remote Sensing Imagery
Scene classification of high-resolution remote sensing (HRRS) imagery is an important task in the intelligent processing of… 
2016
2016
Application and Evaluation of a Hierarchical Patch Clustering Method for Remote Sensing Images
In this paper, we apply and evaluate a modified Gaussian-test-based hierarchical clustering method for high-resolution satellite… 
Highly Cited
2015
Highly Cited
2015
Human action recognition via multi-task learning base on spatial-temporal feature
2014
2014
Fast online learning algorithm for landmark recognition based on BoW framework
In this paper, we propose a fast online learning framework for landmark recognition based on single hidden layer feedforward… 
2014
2014
Plan and Activity Recognition from a Topic Modeling Perspective
We examine new ways to perform plan recognition (PR) using natural language processing (NLP) techniques. PR often focuses on… 
2012
2012
Selecting Key Poses on Manifold for Pairwise Action Recognition
In action recognition, bag of visual words based approaches have been shown to be successful, for which the quality of codebook… 
2012
2012
Spatial Locality Weighting of Features Using Saliency Map with a Bag-of-Visual-Words Approach
In this paper we propose a new descriptor for content-based image retrieval that explores the locality of features. We propose to… 
2010
2010
Bag of visual words revisited: an exploratory study on robust image retrieval exploiting fuzzy codebooks
Visual information retrieval systems have gained importance due to the increasing amount of available digital multimedia data… 
2009
2009
The University of Amsterdam's Concept Detection System at ImageCLEF 2009
Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our… 
Highly Cited
2004
Highly Cited
2004
Text classification by boosting weak learners based on terms and concepts
Document representations for text classification are typically based on the classical bag-of-words paradigm. This approach comes… 
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