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 …
Content-based image retrieval: A review of recent trends
With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …
enormous amount of image databases have been created in different kind of applications …
Content-based image retrieval using color, shape and texture descriptors and features
MK Alsmadi - Arabian Journal for Science and Engineering, 2020 - Springer
Due to the recent technology development, the multimedia complexity is noticeably
increased and new research areas are opened relying on similar multimedia content …
increased and new research areas are opened relying on similar multimedia content …
Content based image retrieval system by using HSV color histogram, discrete wavelet transform and edge histogram descriptor
A Nazir, R Ashraf, T Hamdani… - … international conference on …, 2018 - ieeexplore.ieee.org
In last few decades. Content Based Image Retrieval System (CBIR) is an emerging field to
retrieve relevant images from a database. It utilizes the visual contents of an image for the …
retrieve relevant images from a database. It utilizes the visual contents of an image for the …
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 …
An efficient image descriptor for image classification and CBIR
Pattern recognition and feature extraction of images always have been important subjects in
improving the performance of image classification and Content-Based Image Retrieval …
improving the performance of image classification and Content-Based Image Retrieval …
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 …