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 …
A novel content-based image retrieval system with feature descriptor integration and accuracy noise reduction
Efficient algorithms, intelligent approaches, and intensive use of computers are crucial to
extracting reliable information from large-scale data sets. It is the case, for example, in …
extracting reliable information from large-scale data sets. It is the case, for example, in …
Content-based medical image retrieval using fractional Hartley transform with hybrid features
KV Rani, ME Prince, PS Therese, PJ Shermila… - Multimedia Tools and …, 2024 - Springer
Abstract Content-Based Medical Image Retrieval is used to extract meaningful information
from a large number of medical images. To extract image texture characteristics, a novel …
from a large number of medical images. To extract image texture characteristics, a novel …
Query-by-visual-search: multimodal framework for content-based image retrieval
Content-based image retrieval (CBIR) states the procedure of recovering images having
similar visual content against a query image from image datasets. In CBIR, the selection of …
similar visual content against a query image from image datasets. In CBIR, the selection of …
Image inpainting based compact hash code learning using modified U-Net
Ş Öztürk - 2020 4th International Symposium on …, 2020 - ieeexplore.ieee.org
As a result of the widespread use of imaging devices, many images are recorded every
second. Access to these recorded images becomes more difficult as the number increases …
second. Access to these recorded images becomes more difficult as the number increases …
Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems
Recommender systems can improve the quality of life in smart cities by presenting
personalized services to the community. Such systems maintain a database of user profiles …
personalized services to the community. Such systems maintain a database of user profiles …
Content based image retrieval using hybrid feature extraction and HWBMMBO feature selection method
KV Rani - Multimedia Tools and Applications, 2023 - Springer
Abstract Content Based Satellite Image Retrieval system is used for images processing,
weather forecasting, climate monitoring, disaster management, forest fire detection etc. In …
weather forecasting, climate monitoring, disaster management, forest fire detection etc. In …
[PDF][PDF] Image retrieval based on deep learning
Scientific Computing Department, Faculty of Computer and Information Sciences, Ain Shams
University Cairo, Egypt moshirasg@ cis. asu. edu. eg Abstract: The digital image has an …
University Cairo, Egypt moshirasg@ cis. asu. edu. eg Abstract: The digital image has an …
Scene image classification based on visual words concatenation of local and global features
SR Shrinivasa, CJ Prabhakar - Multimedia Tools and Applications, 2022 - Springer
In this paper, we present a novel framework for scene image classification, which depends
on corresponding visual words concatenation of speeded up robust features (SURF) and …
on corresponding visual words concatenation of speeded up robust features (SURF) and …
Light microscopic iris classification using ensemble multi‐class support vector machine
A Rehman - Microscopy Research and Technique, 2021 - Wiley Online Library
Similar to other biometric systems such as fingerprint, face, DNA, iris classification could
assist law enforcement agencies in identifying humans. Iris classification technology helps …
assist law enforcement agencies in identifying humans. Iris classification technology helps …