Today, with the rapid growth of communication technology and the development of social
networks and smartphones, the amount of data stored by users in the form of images has …

Several CBIR schemes have been devised by the formation of the low dimensional image
feature vector from the primitive visual features such as color, texture and/or shape of the …

This paper investigates the effect of magnification on content-based image search in digital
pathology archives and proposes to use multi-magnification image representation. Image …

One key issue in content‐based image retrieval is to extract effective features so as to
represent the visual content of an image. In this study, a new non‐negative sparse feature …

В работе рассматривается разработка структурного дескриптора для поиска объектов
на изображениях. Дескриптор построен на основе графа, вершинами которого …

An Image Retrieval (IR) system is used for accessing and retrieving the images from large
image database. Content means the image features like color, texture and shape of the …

Content-based image retrieval (CBIR) scheme has gained popularity in the field of
information retrieval for retrieving some relevant images from the image database based on …

In this paper, a new efficient image retrieval system using sequential process of three stages
with filtering technique for the feature selection is proposed. In the first stage the color …

A well-structured and indexed database alleviates the computing burden on large data. This
paper describes groundwork for presenting the data in a compact, distinctive form, improving …

In this paper, we approach a Content Based Image Retrieval problem using keypoints and
texture. We employ an algorithm that allows computing a fixed number of keypoints for all …