Image retrieval is one of the hot research topics in computer vision which has been paid
much attention by researchers in the last decade. Image retrieval refers to retrieving more …

This paper presents a new content-based image retrieval (CBIR) method based on image
feature fusion. The deep features are extracted from object-centric and place-centric deep …

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 …

One of the major challenges in content-based image retrieval (CBIR) is understanding the
actual semantic meaning of images. Generally, natural images possess a rich collection of …

Estimating foliar damage is essential in agricultural processes to provide proper crop
management, such as monitoring the defoliation level to take preventive actions …

Aiming at the problems of high dimensional features, poor viewpoint robustness and long
retrieval time of existing algorithms in the image retrieval system, this paper presents a new …

Due to the expansion of multimedia data leveraged by social networks and smartphone
devices, large sets of information are available and increasing daily. In this context …

Innovation in imaging technology, the widespread use of smartphones and social media,
along with the boost in networking and storage technology has resulted in huge image …

Abstract Content-Based Image Retrieval (CBIR) is a well-known research topic from the
computer vision domain which helps retrieve similar images from a dataset as per the …

DNA carries the genetic information of almost all the living beings on the earth. The flow of
genetic information takes place by a series of transcription and translation reactions in which …