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 …
Plant species identification using computer vision techniques: a systematic literature review
Species knowledge is essential for protecting biodiversity. The identification of plants by
conventional keys is complex, time consuming, and due to the use of specific botanical …
conventional keys is complex, time consuming, and due to the use of specific botanical …
Semantics for robotic map**, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
A novel ensemble method for classifying imbalanced data
The class imbalance problems have been reported to severely hinder classification
performance of many standard learning algorithms, and have attracted a great deal of …
performance of many standard learning algorithms, and have attracted a great deal of …
A novel content-based image retrieval approach for classification using GLCM features and texture fused LBP variants
M Garg, G Dhiman - Neural Computing and Applications, 2021 - Springer
This paper presents a content-based image retrieval technique that focuses on extraction
and reduction in multiple features. To obtain multi-level decomposition of the image by …
and reduction in multiple features. To obtain multi-level decomposition of the image by …
Feature extraction: a survey of the types, techniques, applications
Feature extraction (FE) is an important step in image retrieval, image processing, data
mining and computer vision. FE is the process of extracting relevant information from raw …
mining and computer vision. FE is the process of extracting relevant information from raw …
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 …
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
Classification with imbalanced data-sets has become one of the most challenging problems
in Data Mining. Being one class much more represented than the other produces …
in Data Mining. Being one class much more represented than the other produces …
[PDF][PDF] A review on image feature extraction and representation techniques
D ** Tian - International Journal of Multimedia and Ubiquitous …, 2013 - gvpress.com
Feature extraction and representation is a crucial step for multimedia processing. How to
extract ideal features that can reflect the intrinsic content of the images as complete as …
extract ideal features that can reflect the intrinsic content of the images as complete as …
A survey of image labelling for computer vision applications
Supervised machine learning methods for image analysis require large amounts of labelled
training data to solve computer vision problems. The recent rise of deep learning algorithms …
training data to solve computer vision problems. The recent rise of deep learning algorithms …