Discriminative image representation for classification
Z Wu, S Wan, L Yue, R Sang - Intelligent Data analysis and its Applications …, 2014 - Springer
Abstract The Bag-of-visual Words (BoW) image representation is a classical method applied
for various problems in the fields of multimedia and computer vision. During the process of …
for various problems in the fields of multimedia and computer vision. During the process of …
Visualizing bag-of-features image categorization using anchored maps
The bag-of-features models is one of the most popular and promising approaches for
extracting the underlying semantics from image databases. However, the associated image …
extracting the underlying semantics from image databases. However, the associated image …
Informative patches sampling for image classification by utilizing bottom-up and top-down information
S Bai, T Matsumoto, Y Takeuchi, H Kudo… - Machine vision and …, 2013 - Springer
In image classification based on bag of visual words framework, image patches used for
creating image representations affect the classification performance significantly. However …
creating image representations affect the classification performance significantly. However …
A novel method for image classification based on bag of visual words
R Wang, K Ding, J Yang, L Xue - Journal of Visual Communication and …, 2016 - Elsevier
Bag of words (BOW) model is widely applied in image classification. The traditional BOW
neglects the spatial information and object shape information, which fails to distinguish …
neglects the spatial information and object shape information, which fails to distinguish …
Scene classification based on local binary pattern and improved bag of visual words
GA Montazer, D Giveki, MA Soltanshahi - … de Mallorca, Spain, June 10-12 …, 2015 - Springer
Today, image classification is considered as one of the most important and challenging
tasks in computer vision. This paper presents a new method for image classification using …
tasks in computer vision. This paper presents a new method for image classification using …
Learning hierarchical bag of words using naive bayes clustering
S Chandra, S Kumar, CV Jawahar - Asian Conference on Computer Vision, 2012 - Springer
Image analysis tasks such as classification, clustering, detection, and retrieval are only as
good as the feature representation of the images they use. Much research in computer …
good as the feature representation of the images they use. Much research in computer …
Improving image classification using semantic attributes
Abstract The Bag-of-Words (BoW) model—commonly used for image classification—has two
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
strong limitations: on one hand, visual words are lacking of explicit meanings, on the other …
Visual feature coding for image classification integrating dictionary structure
YB Yang, QH Zhu, XJ Mao, LY Pan - Pattern Recognition, 2015 - Elsevier
Methods based on the Bag-Of-Words (BoW) model have made a remarkable success in
image classification, but many of which do not consider the structure underlying in the …
image classification, but many of which do not consider the structure underlying in the …
Machine learning for image classification
YJ Zhang - Encyclopedia of Information Science and Technology …, 2015 - igi-global.com
Background Currently, the typical framework adopted by the majority of existing image
classification systems is discriminative model (Grauman, 2005; Lazebnik, 2006; van Gemert …
classification systems is discriminative model (Grauman, 2005; Lazebnik, 2006; van Gemert …
Discriminative features for image classification and retrieval
S Liu, X Bai - Pattern Recognition Letters, 2012 - Elsevier
In this paper, we present a new method to improve the performance of current bag-of-word
based image classification process. After feature extraction, we introduce a pairwise image …
based image classification process. After feature extraction, we introduce a pairwise image …