Results 31 to 40 of about 599,124 (143)
Deep Image Synthesis, Analysis and Indexing Using Integrated CNN Architectures
IEEE AccessThe excessive use of Internet technology is leading to a massive increase in multimedia content. Fast and effective image retrieval over a wide range of databases is a difficult task in this modern research era.
Muhammad Arslan +5 more
doaj +1 more source
Unsupervised Triplet Hashing for Fast Image Retrieval
, 2017 Hashing has played a pivotal role in large-scale image retrieval. With the development of Convolutional Neural Network (CNN), hashing learning has shown great promise.
Huang, Shanshan +3 more
core +1 more source
Video Logo Retrieval based on local Features
, 2020 Estimation of the frequency and duration of logos in videos is important and challenging in the advertisement industry as a way of estimating the impact of ad purchases.
Guan, Bochen +3 more
core +1 more source
Large scale evaluations of multimedia information retrieval: the TRECVid experience [PDF]
, 2005 Information Retrieval is a supporting technique which underpins a broad range of content-based applications including retrieval, filtering, summarisation, browsing, classification, clustering, automatic linking, and others.
G. Kazai, J.G. Fiscus
core +2 more sources
Medical Image Retrieval: Past and Present [PDF]
Healthcare Informatics Research, 2012 With the widespread dissemination of picture archiving and communication systems (PACSs) in hospitals, the amount of imaging data is rapidly increasing. Effective image retrieval systems are required to manage these complex and large image databases. The
Kyung Hoon Hwang +2 more
doaj +1 more source
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images [PDF]
arXiv, 2022 In this paper, we propose a novel content-based image-retrieval scheme that allows us to use a mixture of plain images and compressible encrypted ones called "encryption-then-compression (EtC) images." In the proposed scheme, extended SIMPLE descriptors are extracted from EtC images as well as from plain ones, so the mixed use of plain and encrypted ...
arxiv
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
, 2019 Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large amount of research on this task has been carried out, which mainly focuses on the following three core issues: feature ...
Datcu, Mihai +5 more
core +1 more source
Mélange fabric image retrieval based on soft similarity learning
Journal of Engineered Fibers and Fabrics, 2022 Fabric image retrieval, a special case in Content Based Image Retrieval, has high potential application value in many fields. Compared with common image retrieval, fabric image retrieval has high requirements for results.
Jun Xiang, Ruru Pan, Weidong Gao
doaj +1 more source
Class-Weighted Convolutional Features for Visual Instance Search [PDF]
, 2017 Image retrieval in realistic scenarios targets large dynamic datasets of unlabeled images. In these cases, training or fine-tuning a model every time new images are added to the database is neither efficient nor scalable.
Alvarez, Jose M. +2 more
core +2 more sources
Deep Unsupervised Embedding for Remote Sensing Image Retrieval Using Textual Cues
Applied Sciences, 2020 Compared to image-image retrieval, text-image retrieval has been less investigated in the remote sensing community, possibly because of the complexity of appropriately tying textual data to respective visual representations.
Mohamad M. Al Rahhal +4 more
doaj +1 more source