Sketch-based image retrieval (SBIR) utilizes sketches to search for images containing
similar objects or scenes. Due to the proliferation of touch-screen devices, sketching has …

Optical satellites are the most popular observation platforms for humans viewing Earth.
Driven by rapidly develo** multisource optical remote sensing technology, content-based …

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 …

Implementing an efficient k-Nearest Neighbors (kNN) algorithm on FPGA is becoming
challenging due to the fact that both the size and dimensionality of datasets that kNN is …

CBIR is a very important domain, especially in the last decade due to the increased need for
image retrieval from the multimedia database. In general, we extract low level (color, texture …

In recent years, the huge amount of information and users of the internet service, it is hard to
know quickly and accurately what the user wants. This phenomenon leads to an extremely …

Digital information search archives on the internet and other platforms have been an
essential part of our daily lives. With the use of huge amounts of digital images, it is …

Abstract Automatic Image Annotation (AIA) helps image retrieval systems by predicting tags
for images. In this paper, we propose an AIA system using Non-negative Matrix Factorization …

Online retrieval systems for specified Information is more growth, so the need for efficient
retrieval schemes become more significant area to employ user's need. Ontology based …

Due to advancements in information, communication, and technology (ICT), the amount of
healthcare data is increasing enormously day by day. Handling such enormous amount of …