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 …
Concept-specific visual vocabulary construction for object categorization
Recently, the bag-of-words (BOW) based image representation is getting popular in object
categorization. However, there is no available visual vocabulary and it has to be learned. As …
categorization. However, there is no available visual vocabulary and it has to be learned. As …
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 …
Accurate visual word construction using a supervised approach
Most of the bag of visual words models are used to resorting to clustering techniques such
as the K-means algorithm, to construct visual dictionaries. In order to improve their efficiency …
as the K-means algorithm, to construct visual dictionaries. In order to improve their efficiency …
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 …
Towards extensible automatic image annotation with the bag-of-words approach
R Nagy, K Meyer-Wegener - … of the international workshop on Very-large …, 2010 - dl.acm.org
Visual-word-based image categorization has proven to be very effective in several
publications and contests. Recently, various approaches have been proposed to address …
publications and contests. Recently, various approaches have been proposed to address …
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 …
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 …
Building contextual visual vocabulary for large-scale image applications
Not withstanding its great success and wide adoption in Bag-of-visual Words representation,
visual vocabulary created from single image local features is often shown to be ineffective …
visual vocabulary created from single image local features is often shown to be ineffective …
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 …