Towards a universal and limited visual vocabulary
J Hou, ZS Feng, Y Yang, NM Qi - … Symposium, ISVC 2011, Las Vegas, NV …, 2011 - Springer
Bag-of-visual-words is a popular image representation and attains wide application in image
processing community. While its potential has been explored in many aspects, its operation …
processing community. While its potential has been explored in many aspects, its operation …
On building a universal and compact visual vocabulary
J Hou, WX Liu, XE, HR Karimi - Mathematical Problems in …, 2013 - Wiley Online Library
Bag‐of‐visual‐words has been shown to be a powerful image representation and attained
great success in many computer vision and pattern recognition applications. Usually, for a …
great success in many computer vision and pattern recognition applications. Usually, for a …
An experimental study on the universality of visual vocabularies
J Hou, WX Liu, E Xu, Q Xia, NM Qi - Journal of Visual Communication and …, 2013 - Elsevier
Bag-of-visual-words has been shown to be a powerful image representation and attained
success in many computer vision and pattern recognition applications. Usually for a given …
success in many computer vision and pattern recognition applications. Usually for a given …
Supervised visual vocabulary with category information
Y Liu, V Caselles - Advanced Concepts for Intelligent Vision Systems: 13th …, 2011 - Springer
The bag-of-words model has been widely employed in image classification and object
detection tasks. The performance of bag-of-words methods depends fundamentally on the …
detection tasks. The performance of bag-of-words methods depends fundamentally on the …
Enhancing image classification with class-wise clustered vocabularies
W Wojcikiewicz, A Binder… - 2010 20th International …, 2010 - ieeexplore.ieee.org
In recent years bag-of-visual-words representations have gained increasing popularity in the
field of image classification. Their performance highly relies on creating a good visual …
field of image classification. Their performance highly relies on creating a good visual …
Partitioned k-means clustering for fast construction of unbiased visual vocabulary
Abstract Bag-of-Words (BoW) model has been widely used for feature representation in
multimedia search area, in which a key step is to vector-quantize local image descriptors …
multimedia search area, in which a key step is to vector-quantize local image descriptors …
A hybrid supervised-unsupervised vocabulary generation algorithm for visual concept recognition
A Binder, W Wojcikiewicz, C Müller… - Computer Vision–ACCV …, 2011 - Springer
Vocabulary generation is the essential step in the bag-of-words image representation for
visual concept recognition, because its quality affects classification performance …
visual concept recognition, because its quality affects classification performance …
Creating compact and discriminative visual vocabularies using visual bits
T Kirishanthy, A Ramanan - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
In a patch-based object recognition system the key role of a visual vocabulary is to provide a
way to map the low-level features into a fixed-length vector in histogram space to which …
way to map the low-level features into a fixed-length vector in histogram space to which …
Randomized locality sensitive vocabularies for bag-of-features model
Visual vocabulary construction is an integral part of the popular Bag-of-Features (BOF)
model. When visual data scale up (in terms of the dimensionality of features or/and the …
model. When visual data scale up (in terms of the dimensionality of features or/and the …
A survey of extended methods to the bag of visual words for image categorization and retrieval
The semantic gap is a crucial issue in the enhancement of computer vision. The user longs
for retrieving images on a semantic level, but the image characterizations can only give a …
for retrieving images on a semantic level, but the image characterizations can only give a …