Evolving weighting schemes for the bag of visual words
Abstract The Bag of Visual Words (BoVW) is an established representation in computer
vision. Taking inspiration from text mining, this representation has proved to be very effective …
vision. Taking inspiration from text mining, this representation has proved to be very effective …
Novel distributional visual-feature representations for image classification
AP López-Monroy, M Montes-y-Gómez… - Multimedia Tools and …, 2019 - Springer
Abstract The Bag-of-Visual-Words (BoVW) representation is a well known strategy to
approach many computer vision problems. The idea behind BoVW is similar to the Bag-of …
approach many computer vision problems. The idea behind BoVW is similar to the Bag-of …
Improving the BoVW via discriminative visual n-grams and MKL strategies
Abstract The Bag-of-Visual-Words (BoVW) representation has been widely used to
approach a number of different high-level computer vision tasks. The idea behind the BoVW …
approach a number of different high-level computer vision tasks. The idea behind the BoVW …
Combining bag of visual words-based features with CNN in image classification
MA Marzouk, M Elkholy - Journal of Intelligent Systems, 2024 - degruyter.com
Although traditional image classification techniques are often used in authentic ways, they
have several drawbacks, such as unsatisfactory results, poor classification accuracy, and a …
have several drawbacks, such as unsatisfactory results, poor classification accuracy, and a …
[PDF][PDF] Fast-BoW: Scaling Bag-of-Visual-Words Generation.
The bag-of-visual-words (BoW) generation is a widely used unsupervised feature extraction
method for the variety of computer vision applications. However, space and computational …
method for the variety of computer vision applications. However, space and computational …
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 …
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 …
Image classification by visual bag-of-words refinement and reduction
This paper presents a new framework for visual bag-of-words (BOW) refinement and
reduction to overcome the drawbacks associated with the visual BOW model which has …
reduction to overcome the drawbacks associated with the visual BOW model which has …
The bag-of-words method with dictionary analysis by evolutionary algorithm
In this paper we present innovative solutions improving general operational efficiency of the
Bag-of-Words algorithm (BoW). The first innovation which we put forward is creating a visual …
Bag-of-Words algorithm (BoW). The first innovation which we put forward is creating a visual …
What image classifiers really see–visualizing bag-of-visual words models
C Hentschel, H Sack - International Conference on Multimedia Modeling, 2015 - Springer
Abstract Bag-of-Visual-Words (BoVW) features which quantize and count local gradient
distributions in images similar to counting words in texts have proven to be powerful image …
distributions in images similar to counting words in texts have proven to be powerful image …