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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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Papers overview

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2016
2016
Scene classification of high-resolution remote sensing (HRRS) imagery is an important task in the intelligent processing of… 
2016
2016
This paper presents a novel approach, named bag-of-bags of words (BBoW), to address the problem of Content-Based Image Retrieval… 
2016
2016
In this paper we present the image classification techniques performed by the IPL Group for the subfigure classification subtask… 
2016
2016
This article introduces a methodology for analyzing sentiment in Arabic text using a global foreign lexical source. Our method… 
2015
2015
Sketch-based Image Retrieval (SBIR) is one important branch of Content-based Image Retrieval (CBIR). SBIR means dealing with… 
2012
2012
In action recognition, bag of visual words based approaches have been shown to be successful, for which the quality of codebook… 
2012
2012
Interest in traffic classification has dramatically grown in the past few years in both industry and academia. As more and more… 
2011
2011
We present a novel scheme of spoken dialogue systems which uses the up-to-date information on the web. The scheme is based on… 
2009
2009
This paper presents a machine learning approach to question classification. We have defined a kernel function based on latent… 
Review
2008
Review
2008
Many Web sites, including blogs, online stores, and some database Web sites, give users the ability to state their opinions about…