Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review
Multimedia content analysis is applied in different real‐world computer vision applications,
and digital images constitute a major part of multimedia data. In last few years, the …
and digital images constitute a major part of multimedia data. In last few years, the …
Cross-domain image retrieval: methods and applications
X Zhou, X Han, H Li, J Wang, X Liang - International Journal of Multimedia …, 2022 - Springer
Cross-domain images have been witnessed in an increasing number of applications. This
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …
new trend triggers demands for cross-domain image retrieval (CDIR), which finds images in …
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 …
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 …
A novel discriminating and relative global spatial image representation with applications in CBIR
The requirement for effective image search, which motivates the use of Content-Based
Image Retrieval (CBIR) and the search of similar multimedia contents on the basis of user …
Image Retrieval (CBIR) and the search of similar multimedia contents on the basis of user …
Image retrieval by addition of spatial information based on histograms of triangular regions
The compositional and content attributes of images carry information that enhances the
performance of image retrieval. Standard images are constructed by following the rule of …
performance of image retrieval. Standard images are constructed by following the rule of …
A hybrid geometric spatial image representation for scene classification
The recent development in the technology has increased the complexity of image contents
and demand for image classification becomes more imperative. Digital images play a vital …
and demand for image classification becomes more imperative. Digital images play a vital …
Intelligent image classification-based on spatial weighted histograms of concentric circles
As digital images play a vital role in multimedia content, the automatic classification of
images is an open research problem. The Bag of Visual Words (BoVW) model is used for …
images is an open research problem. The Bag of Visual Words (BoVW) model is used for …
Image classification by addition of spatial information based on histograms of orthogonal vectors
The Bag-of-Visual-Words (BoVW) model is widely used for image classification, object
recognition and image retrieval problems. In BoVW model, the local features are quantized …
recognition and image retrieval problems. In BoVW model, the local features are quantized …
Modeling global geometric spatial information for rotation invariant classification of satellite images
The classification of high-resolution satellite images is an open research problem for
computer vision research community. In last few decades, the Bag of Visual Word (BoVW) …
computer vision research community. In last few decades, the Bag of Visual Word (BoVW) …