Results 11 to 20 of about 4,123 (220)
Learning visual features for relational CBIR
Recent works in deep-learning research highlighted remarkable relational reasoning capabilities of some carefully designed architectures. In this work, we employ a relationship-aware deep learning model to extract compact visual features used relational image descriptors.
Messina N +4 more
openaire +3 more sources
COMPREHENSIVE ANALYSIS OF SOME RECENT COMPETITIVE CBIR TECHNIQUES [PDF]
In today’s real life applications complexity of multimedia contents is significantly increased. This is highly demanding the development of effective retrieval systems to satisfy human desires.
Pradnya Vikhar, P P Karde, V M Thakare
doaj +1 more source
Deep learning for content-based image retrieval in FHE algorithms
Content-based image retrieval (CBIR) is a technique used to retrieve image from an image database. However, the CBIR process suffers from less accuracy to retrieve many images from an extensive image database and prove the privacy of images.
Abdullah Sura Mahmood +1 more
doaj +1 more source
CBIR-SAR System Using Stochastic Distance. [PDF]
This article proposes a system for Content-Based Image Retrieval (CBIR) using stochastic distance for Synthetic-Aperture Radar (SAR) images. The methodology consists of three essential steps for image retrieval. First, it estimates the roughness (α^
Sousa AD +4 more
europepmc +2 more sources
An Efficient Two-layer based Technique for Content-based Image Retrieval
The rapid advancement and exponential evolution in the multimedia applications raised the attentional research on content-based image retrieval (CBIR).
Fawzi Abdul Azeez Salih +1 more
doaj +1 more source
Image Retrieval Based on Edge Histogram Descriptor of MPEG-7
A major research area in computer vision is content-based image retrieval. MPEG-7 sets up a list of descriptions of the structured image content. We examine the weakness and lack of retrieval approaches based on global characteristics in this study by ...
Bilal Ahmed +2 more
doaj +1 more source
Dicoogle, a PACS featuring profiled content based image retrieval. [PDF]
Content-based image retrieval (CBIR) has been heralded as a mechanism to cope with the increasingly larger volumes of information present in medical imaging repositories.
Frederico Valente +2 more
doaj +1 more source
Generic Graphical User Interface for CBIR Framework
Content-based image retrieval system (CBIR) is a well-known and widely used system for image retrieval. Most of the current CBIR systems are either command-based or specific to applications.
Ali Layak
doaj +1 more source
In the era of massive data production through the internet and social media, the volume of images generated is immense. Storing and retrieving relevant images efficiently pose significant challenges.
Divya Srivastava +5 more
doaj +1 more source

