Awjedni: A Reverse-Image-Search Application

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal Pub Date : 2020-09-13 DOI:10.14201/ADCAIJ2020934968
Hanaa Al-Lohibi, Tahani Alkhamisi, Maha Assagran, Amal H. Aljohani, A. Aljahdali
{"title":"Awjedni: A Reverse-Image-Search Application","authors":"Hanaa Al-Lohibi, Tahani Alkhamisi, Maha Assagran, Amal H. Aljohani, A. Aljahdali","doi":"10.14201/ADCAIJ2020934968","DOIUrl":null,"url":null,"abstract":"The abundance of photos on the internet, along with smartphones that could implement computer vision technologies allow for a unique way to browse the web. These technologies have potential used in many widely accessible and globally available reverse-image search applications. One of these applications is the use of reverse-image search to help people finding items which they're interested in, but they can’t name it. This is where Awjedni was born. Awjedni is a reverse-image search application compatible with iOS and Android smartphones built to provide an efficient way to search millions of products on the internet using images only. Awjedni utilizes a computer vision technology through implementing multiple libraries and frameworks to process images, recognize objects, and crawl the web. Users simply upload/take a photo of a desired item and the application returns visually similar items and a direct link to the websites that sell them.","PeriodicalId":42597,"journal":{"name":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","volume":"57 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14201/ADCAIJ2020934968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 2

Abstract

The abundance of photos on the internet, along with smartphones that could implement computer vision technologies allow for a unique way to browse the web. These technologies have potential used in many widely accessible and globally available reverse-image search applications. One of these applications is the use of reverse-image search to help people finding items which they're interested in, but they can’t name it. This is where Awjedni was born. Awjedni is a reverse-image search application compatible with iOS and Android smartphones built to provide an efficient way to search millions of products on the internet using images only. Awjedni utilizes a computer vision technology through implementing multiple libraries and frameworks to process images, recognize objects, and crawl the web. Users simply upload/take a photo of a desired item and the application returns visually similar items and a direct link to the websites that sell them.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一个反向图像搜索应用程序
互联网上丰富的照片,以及可以实现计算机视觉技术的智能手机,为浏览网页提供了一种独特的方式。这些技术有潜力用于许多广泛访问和全球可用的反向图像搜索应用程序。其中一个应用是使用反向图像搜索来帮助人们找到他们感兴趣的东西,但他们不知道它的名字。这是Awjedni出生的地方。Awjedni是一个与iOS和Android智能手机兼容的反向图像搜索应用程序,旨在提供一种仅使用图像在互联网上搜索数百万产品的有效方式。Awjedni利用计算机视觉技术,通过实现多个库和框架来处理图像、识别对象和抓取网络。用户只需上传/拍摄所需物品的照片,应用程序就会返回视觉上类似的物品,并直接链接到销售这些物品的网站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
期刊最新文献
Enhancing Energy Efficiency in Cluster Based WSN using Grey Wolf Optimization Comparison of Pre-trained vs Custom-trained Word Embedding Models for Word Sense Disambiguation Healthcare Data Collection Using Internet of Things and Blockchain Based Decentralized Data Storage Development of an Extended Medical Diagnostic System for Typhoid and Malaria Fever Comparison of Swarm-based Metaheuristic and Gradient Descent-based Algorithms in Artificial Neural Network Training
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1