An effective hybrid framework for content based image retrieval (CBIR)
In recent years, we have witnessed a massive growth in the generation of images on the
cyberspace which demands to develop automated solutions for effective content …
cyberspace which demands to develop automated solutions for effective content …
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 …
Scene analysis and search using local features and support vector machine for effective content-based image retrieval
Despite broad investigation in content-based image retrieval (CBIR), issue to lessen the
semantic gap between high-level semantics and local attributes of the image is still an …
semantic gap between high-level semantics and local attributes of the image is still an …
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 …
Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine
In recent years, the rapid growth of multimedia content makes content-based image retrieval
(CBIR) a challenging research problem. The content-based attributes of the image are …
(CBIR) a challenging research problem. The content-based attributes of the image are …
Content-based image retrieval based on visual words fusion versus features fusion of local and global features
Due to the advancements in digital technologies and social networking, image collections
are growing exponentially. The important aim in content-based image retrieval (CBIR) is to …
are growing exponentially. The important aim in content-based image retrieval (CBIR) is to …
A novel method for content-based image retrieval to improve the effectiveness of the bag-of-words model using a support vector machine
The advancements in the multimedia technologies result in the growth of the image
databases. To retrieve images from such image databases using visual attributes of the …
databases. To retrieve images from such image databases using visual attributes of the …
Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems
One of the main concerns for online shopping websites is to provide efficient and
customized recommendations to a very large number of users based on their preferences …
customized recommendations to a very large number of users based on their preferences …
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 …
[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 …