An efficient image retrieval framework using fused information feature
The tremendous growth in the number of digital images has provoked the need for
improvement in search and retrieval of images from a large database. The biggest challenge …
improvement in search and retrieval of images from a large database. The biggest challenge …
A modified similarity measurement for image retrieval scheme using fusion of color, texture and shape moments
N Varish - Multimedia Tools and Applications, 2022 - Springer
In this paper, a simple feature fusion scheme is proposed for content-based image retrieval
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
(CBIR) using color, texture and shape feature moments. The low dimensional feature …
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 …
Jointly learning of visual and auditory: A new approach for RS image and audio cross-modal retrieval
Remote sensing (RS) images are widely used in civilian and military fields. With the highly
increasing image data, it has become a challenging issue to achieve fast and efficient RS …
increasing image data, it has become a challenging issue to achieve fast and efficient RS …
Fusion of region based extracted features for instance-and class-based CBIR applications
One of the major challenges in content-based image retrieval (CBIR) is understanding the
actual semantic meaning of images. Generally, natural images possess a rich collection of …
actual semantic meaning of images. Generally, natural images possess a rich collection of …
A CBIR system based on saliency driven local image features and multi orientation texture features
Abstract In Content-based Image Retrieval (CBIR), the user provides the query image in
which only a selective portion of the image carries the foremost vital information known as …
which only a selective portion of the image carries the foremost vital information known as …
[HTML][HTML] Hybrid bag-of-visual-words and FeatureWiz selection for content-based visual information retrieval
Recently, content-based image retrieval (CBIR) based on bag-of-visual-words (BoVW)
model has been one of the most promising and increasingly active research areas. In this …
model has been one of the most promising and increasingly active research areas. In this …
Adaptive tetrolet based color, texture and shape feature extraction for content based image retrieval application
The performance of any content-based image retrieval (CBIR) system depends on the
quality and importance of the extracted features. Those extracted features like texture …
quality and importance of the extracted features. Those extracted features like texture …
[HTML][HTML] A hierarchical approach based CBIR scheme using shape, texture, and color for accelerating retrieval process
In the traditional content-based image retrieval (CBIR) framework, images are retrieved
based on the combined primitive features. However, such a kind of fusion is always not …
based on the combined primitive features. However, such a kind of fusion is always not …
Texture image classification and retrieval using multi-resolution radial gradient binary pattern
LK Pavithra, T Sree Sharmila… - Applied Artificial …, 2021 - Taylor & Francis
In image classification and retrieval applications, images are represented by a set of
features. These features are extracted from both spatial and wavelet transformed input …
features. These features are extracted from both spatial and wavelet transformed input …