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 …

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 …

The exponential growth of communal media platforms including Facebook and Twitter, and
the accessibility of low-cost digital capturing devices have generated an enormous number …

The content-based image retrieval (CBIR) based on sparse visual features is a challenging
research problem to categorize images into semantically meaningful classes. Different …

Traditional urban scene-classification approaches focus on images taken either by satellite
or in aerial view. Although single-view images are able to achieve satisfactory results for …

The massive amount of digital content generated daily in the modern world has created the
need for an image retrieval system built on image analysis via image processing and …

Inflammations that result in severe pharyngitis are frequently brought on by streptococcal
pharyngitis. A low average survival rate for oral cancer distinguishes it as an aggressive …

Bag of words was first used in the field of text categorization. In recent years, with the
development of image processing technology, Bag of words has also been widely used in …

Managing large personal image databases requires efficient privacy preserving indexing
methods to allow for their outsourcing to possibly curious cloud servers. To construct a …

The bag of visual words (BOW) model has been widely applied in the field of image
recognition and image classification. However, all scale‐invariant feature transform (SIFT) …