基于内容的图像检索系统(合集)
基于内容的图像检索,即CBIR(Content-based image retrieval),是计算机视觉领域中关注大规模数字图像内容检索的研究分支。典型的CBIR系统,允许用户输入一张图片,以查找具有相同或相似内容的其他图片。而传统的图像检索是基于文本的,即通过图片的名称、文字信息和索引关系来实现查询功能。
本文是Wiki上统计的当前主要的基于内容的图像检索系统。
商业图像搜索引擎:
名称 | 描述 | 外部图像查询 | 元数据查询 |
索引的大小 ( 估计值, Millions of Images) |
组织 | 协议 (Open/Closed) |
---|---|---|---|---|---|---|
Elastic Vision | Smart image searcher with content-based clustering in a visual network. | No | No | Private Company | Closed | |
Google Image Search | Google's CBIR system, note: does not work on all images | Yes | Yes | Public Company | Closed | |
Baidu Image Search | Baidu's CBIR system | Yes | Yes | 1000M | Public Company | Closed |
ID My Pill | Automatic prescription pill identification (CBIR) | Yes | No | Private Company | Open (via API) | |
Imense Image Search Portal | CBIR search engine, by Imense. | No | Yes | 3M | Private Company | Closed |
Imprezzeo Image Search | CBIR search engine, by Imprezzeo. | No | Yes | Private Company | Closed | |
Visual Image Search | CBIR search engine, by pixolution | Yes | No | 10M | Private Company | Closed |
Incogna Image Search | CBIR search engine, by Incogna Inc. | No | Yes | 100M | Private Company | Closed |
Like.com | Shopping & fashion based CBIR engine | No | Yes | 1M | Private Company | Closed |
Chic Engine | Visual fashion search engine (CBIR) | Yes | No | Private Company | Closed | |
MiPai similarity search engine | Online similarity search engine | Yes | Yes | 100M | Individual | Closed |
Piximilar | Demo engine, developed by Idee Inc. | No | No | 3M | Private Company1 | Closed |
Empora | Product comparison & shopping using CBIR for product images. Previously known as Pixsta | No | Yes | 0.5M | Private Company | Closed |
Shopachu | Shopping & fashion CBIR engine, by Incogna Inc. | No | Yes | 1M | Private Company | Closed |
TinEye | CBIR site for finding variations of web images, by Idee Inc. | Yes | No | 1800M | Private Company | Closed |
Tiltomo | CBIR system using Flickr photos | No | Yes | Private Company | Closed | |
eBay Image Search | Image Search for eBay Fashion | No | Yes | 20M | Public Company | Closed |
Visual Recognition Factory | Visual Recognition Factory | Yes | Yes | Private Company | Closed | |
IMMENSELAB | CBIR search engine by KBKGROUP. | Yes | No | 10M | Private Company | Closed |
Macroglossa Visual Search | CBIR visual search engine | Yes | No | Private Company | Closed |
研究项目(有一部分是开源的):
名称 |
外部图像查询 |
元数据查询 |
索引大小 (估计值, Millions of Images) |
组织 |
协议 (Open/Closed) |
akiwi |
Yes |
Yes |
15M |
University |
Closed |
ALIPR |
Yes |
Yes |
University |
Closed |
|
Anaktisi |
Yes |
No |
0.225M |
University |
Open |
BRISC |
Yes |
No |
University |
GPL |
|
Caliph & Emir |
Yes |
No |
Desktop-based |
University |
GPL |
FIRE |
No |
No |
University |
Open |
|
GNU Image Finding Tool |
Yes |
No |
Desktop-based |
GNU |
GPL |
ISSBP |
Yes |
Yes |
free-beta limited to 4k images |
Private Company |
Closed |
img(Rummager) |
Yes |
No |
Desktop-based |
Individual |
Closed |
imgSeek |
Yes |
No |
Individual |
GPL |
|
IKONA |
Yes |
Yes |
University |
Closed |
|
IOSB |
Yes |
No |
Desktop-based |
Research Institute |
Closed |
LIRE |
Yes |
Yes |
University |
GPL |
|
Lucignolo |
Yes |
Yes |
106M |
Research Institute |
Closed |
MIFile |
No |
No |
106M |
Research Institute |
Open |
MUVIS |
Yes |
No |
Desktop-based |
University |
Closed |
PIRIA |
Yes |
Yes |
130M |
University |
Closed |
PicsLikeThat |
No |
No |
12M |
University |
Closed |
Pixcavator |
Yes |
No |
Desktop-based |
Private company |
Closed |
pixolu |
Yes |
No |
Private Company / University |
Closed |
|
RETIN |
No |
No |
University |
Closed |
|
Retrievr |
No |
No |
University |
Closed |
|
SIMBA |
Yes |
No |
0.002M |
University |
Closed |
TagProp |
No |
Yes |
Institute |
Closed |
|
VIRaL |
Yes |
Yes |
2.221M |
University |
Closed |
Windsurf |
Yes |
No |
University |
Closed |
|
PIBE |
Yes |
No |
University |
Closed |
|
SHIATSU |
Yes |
Yes |
University |
Closed |
用过其中的LIRE和Caliph & Emir,还是比较好用的
原文地址:http://en.wikipedia.org/wiki/List_of_CBIR_Engines
基于内容的图像检索系统(合集)相关推荐
- 基于内容的图像检索系统的设计与实现
基于内容的图像检索系统的设计与实现 摘 要:图像作为最基本.最重要的多媒体信息形式之一,已经随着信息技术和网络技术的发展,而越来越广泛地应用于许多领域.如何提供一个快速的.有效的图像信息检索系统已成为 ...
- vc++实现基于内容的图像检索系统(一)
vc++实现基于内容的图像检索系统(一) 系统设计 下载数据集 检索用的图像数据,下载网址: http://cecas.clemson.edu/~stb/research/headtracker/se ...
- 多方法的基于内容的图像检索系统(CBIR)搭建--基于python
多方法基于内容的图像检索系统(CBIR)搭建 代码实现地址 系统简介 随着数字图像的数量的急速增长,如何快速.高效地从海量图像数据库中检索出客户所需要的数据和信息是当前图像应用领域的重要问题.伴随着数 ...
- 基于内容的图像检索系统设计与实现--颜色信息--纹理信息--形状信息--PHASH--SHFT特征点的综合检测项目,包含简易版与完整版的源码及数据!
百度云提取源码以及数据包,直接下载压缩包解压就可以使用,数据就在压缩包文件dataset中. 简化版:只有-颜色信息–纹理信息–形状信息–PHASH–SHFT特征点的综合检测 [百度云链接,提取码:6 ...
- JAVA实现的基于内容的图像检索系统设计与实现
1 图像检索系统工作流程 基于内容的图像检索技术是对输入的图像进行分析并分类统一建模,提取其颜色.形状.纹理.轮廓和空间位置等特征,建立特征索引, 存储于特征数据库中.检索时,用户提交查询的源图像,通 ...
- 基于内容的图像检索技(CBIR)术相术介绍
基于内容的图像检索技(CBIR)术相术介绍 kezunhai@gmail.com http://blog.csdn.net/kezunhai 近20年来,计算机与信号处理领域如火如荼地发展着,随着普通 ...
- 【CBIR】基于内容的图像检索技(CBIR)术相术介绍
基于内容的图像检索技(CBIR)术相术介绍 转载之: kezunhai 出处: http://blog.csdn.net/kezunhai 近20年来,计算机与信号处理领域如火如荼地发展着,随着普通 ...
- 基于内容的图像检索概述
摘要:我们现在处于信息爆炸的时代,各种海量信息充斥在我们周围,如何能在海量的数据中搜索到我们想要的图像是个很有挑战性的研究课题.本文简要分析了目前基于内容的图像检索(CBIR)的几种主要方法,如颜色, ...
- 基于内容的图像检索技术
转:https://blog.csdn.net/u013087984/article/details/52038980 图像检索:基于内容的图像检索技术 2016年06月05日 图像检索 图像检索 ...
最新文章
- 洗被套的时候洗衣机里面不要再放其他东西
- 无监督构建词库:更快更好的新词发现算法
- Java8 Collections.sort()及Arrays.sort()中Lambda表达式及增强版Comparator的使用
- 牛客网暑期ACM多校训练营(第九场)
- React向对象数组进行赋值
- android 初始化语言,Android Init Language(安卓初始化语言)
- 表单和iframe的使用
- 链表简单实现(增删查改)
- Mycat 不适应场景
- 64java下载_java软件下载|java64 v8.0 官方版-520下载站
- 线性系列DC-DC转换器工作原理
- RAM和ROM存储空间的混合
- Huawei RH2288 V3 风扇噪音大的解决方案
- 到底什么是阿里味?能否在不加入阿里的时候可以体验一下
- 10月10日~10月17 产品资讯
- CTFShow-MISC入门篇详细wp(1-56)
- linux-python升级到最新版本
- 存储ic载板_IC载板工艺
- 《中国制造2025》提出构建绿色制造体系,成为我国制造业新趋势
- SEO具体是怎么优化的?