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 …
Remote sensing image classification: A comprehensive review and applications
Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …
construction materials and provide detailed geographic information. In remote sensing …
Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments
Rescue robots can be used in urban search and rescue (USAR) applications to perform the
important task of exploring unknown cluttered environments. Due to the unpredictable …
important task of exploring unknown cluttered environments. Due to the unpredictable …
Visual saliency guided complex image retrieval
Compared with the traditional text data, multimedia data are concise and contains rich
meanings, so people are more willing to use the multimedia data to store information. How …
meanings, so people are more willing to use the multimedia data to store information. How …
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 …
Handwritten Urdu characters and digits recognition using transfer learning and augmentation with AlexNet
Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …
significant amount of literature exists for automatic recognition of handwritten characters of …
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 …
A novel image retrieval based on visual words integration of SIFT and SURF
With the recent evolution of technology, the number of image archives has increased
exponentially. In Content-Based Image Retrieval (CBIR), high-level visual information is …
exponentially. In Content-Based Image Retrieval (CBIR), high-level visual information is …
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 …