An effective content-based image retrieval technique for image visuals representation based on the bag-of-visual-words model
For the last three decades, content-based image retrieval (CBIR) has been an active
research area, representing a viable solution for retrieving similar images from an image …
research area, representing a viable solution for retrieving similar images from an image …
A novel technique based on visual words fusion analysis of sparse features for effective content‐based image retrieval
M Yousuf, Z Mehmood, HA Habib… - Mathematical …, 2018 - Wiley Online Library
Content‐based image retrieval (CBIR) is a mechanism that is used to retrieve similar images
from an image collection. In this paper, an effective novel technique is introduced to improve …
from an image collection. In this paper, an effective novel technique is introduced to improve …
[HTML][HTML] A hybrid CBIR system using novel local tetra angle patterns and color moment features
UA Khan, A Javed - Journal of King Saud University-Computer and …, 2022 - Elsevier
The exponential growth of communal media platforms including Facebook and Twitter, and
the accessibility of low-cost digital capturing devices have generated an enormous number …
the accessibility of low-cost digital capturing devices have generated an enormous number …
Boosting the performance of the BoVW model using SURF–CoHOG-based sparse features with relevance feedback for CBIR
The content-based image retrieval (CBIR) based on sparse visual features is a challenging
research problem to categorize images into semantically meaningful classes. Different …
research problem to categorize images into semantically meaningful classes. Different …
Multi-view urban scene classification with a complementary-information learning model
Traditional urban scene-classification approaches focus on images taken either by satellite
or in aerial view. Although single-view images are able to achieve satisfactory results for …
or in aerial view. Although single-view images are able to achieve satisfactory results for …
Review of the application of machine learning to the automatic semantic annotation of images
The massive amount of digital content generated daily in the modern world has created the
need for an image retrieval system built on image analysis via image processing and …
need for an image retrieval system built on image analysis via image processing and …
A novel feature fusion based approach for detecting pharyngitis, oral cancer, and tonsillitis using improved bag of visual words
M Swathi, R Regunathan - Soft Computing, 2023 - Springer
Inflammations that result in severe pharyngitis are frequently brought on by streptococcal
pharyngitis. A low average survival rate for oral cancer distinguishes it as an aggressive …
pharyngitis. A low average survival rate for oral cancer distinguishes it as an aggressive …
Improvement of word bag model based on image classification
Z Hao, L Kaidong, Q Feng - 2019 IEEE 1st International …, 2019 - ieeexplore.ieee.org
Bag of words was first used in the field of text categorization. In recent years, with the
development of image processing technology, Bag of words has also been widely used in …
development of image processing technology, Bag of words has also been widely used in …
Privacy preserving search index for image databases based on SURF and order preserving encryption
Managing large personal image databases requires efficient privacy preserving indexing
methods to allow for their outsourcing to possibly curious cloud servers. To construct a …
methods to allow for their outsourcing to possibly curious cloud servers. To construct a …
High discriminative SIFT feature and feature pair selection to improve the bag of visual words model
L Liu, Y Ma, X Zhang, Y Zhang, S Li - IET Image Processing, 2017 - Wiley Online Library
The bag of visual words (BOW) model has been widely applied in the field of image
recognition and image classification. However, all scale‐invariant feature transform (SIFT) …
recognition and image classification. However, all scale‐invariant feature transform (SIFT) …