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LIRE - Open Source Visual Information Retrieval

LIRE: Lucene Image Retrieval. LIRE is a Java library that provides a simple way to retrieve images and photos based on color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR) using local and global state-of-the-art methods. Easy to use methods for searching the index and result browsing are provided. Best of all: it's all open source. LIRE comes without secrets. All the state of the art algorithms are available in source. State of the Art.

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Austria

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ma●●●●●@juggle.at

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Mathias Lux

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Vi●●ch , 9523

Austria

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ma●●●●●@juggle.at

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LIRE - Open Source Visual Information Retrieval | lire-project.net Reviews
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LIRE: Lucene Image Retrieval. LIRE is a Java library that provides a simple way to retrieve images and photos based on color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR) using local and global state-of-the-art methods. Easy to use methods for searching the index and result browsing are provided. Best of all: it's all open source. LIRE comes without secrets. All the state of the art algorithms are available in source. State of the Art.
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3 services
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6 features overview
7 powerful performance
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LIRE - Open Source Visual Information Retrieval | lire-project.net Reviews

https://lire-project.net

LIRE: Lucene Image Retrieval. LIRE is a Java library that provides a simple way to retrieve images and photos based on color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR) using local and global state-of-the-art methods. Easy to use methods for searching the index and result browsing are provided. Best of all: it's all open source. LIRE comes without secrets. All the state of the art algorithms are available in source. State of the Art.

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LIRE - Open Source Visual Information Retrieval

http://www.lire-project.net/index.html

LIRE: Lucene Image Retrieval. LIRE is a Java library that provides a simple way to retrieve images and photos based on color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR) using local and global state-of-the-art methods. Easy to use methods for searching the index and result browsing are provided. Best of all: it's all open source. LIRE comes without secrets. All the state of the art algorithms are available in source. State of the Art.

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angelikaszysz.wordpress.com angelikaszysz.wordpress.com

CW 6 (2nd February – 8th February) LIRe or AlexNet? Caffe and Annoy? | Angelika Szysz - Final Year Project

https://angelikaszysz.wordpress.com/2015/02/09/cw-6-2nd-february-8th-february/comment-page-1

Angelika Szysz – Final Year Project. February 9, 2015. CW 6 (2nd February – 8th February) LIRe or AlexNet? This week, after few improvements, I have submitted the Initial Delivery Documentation. Dian (who I will be mentioning a lot 🙂 ), from Insight Research Centre, is working with the same Flickr dataset, for the EPA project, mentioned in the previous post. Http:/ www.semanticmetadata.net/lire/). During the meeting with Dian on Wednesday, we have also discussed a possible approach for indexing, which i...

blog.yizhilee.com blog.yizhilee.com

whatanime.ga:根据截图搜动画的黑科技 | 荔枝的博客

https://blog.yizhilee.com/post/whatanime

Life is too short to answer all the What is the anime? Questions. Let computers do that for you. WAIT: What Anime Is This? 一般情况下最常用的方法就是 Google 的以图搜图功能,如果使用 Chrome 浏览器的话直接在图片上右击选择 通过Google搜索图片 就可以很方便的快速搜到结果。 如果 Google 图片搜索不能找到满意的结果的话,这里有一个专门搜索动漫同人、游戏 CG 图片的网站 SauceNAO. 上周在 Telegram 上发现了一个好玩的 Bot @WhatAnimeBot. 网页版有更完整的功能,由三部分组成 左上角是提交截图和播放动画片片段的区域,你可以选择拖放、Ctrl V 和输入图片网址三种方法提交截图之后点击搜索,网站默认会搜索到相似的视频帧并按照匹配度从高到低的顺序在右边排列:. 你还可以使用 Image Search Options. 这个浏览器扩展,它默认内置 SauceNAO, Iqdb, TinEye 和 Google 图片搜索引擎,在设置里添加.

ogemarques.com ogemarques.com

Books - Dr. Oge Marques

http://www.ogemarques.com/books

Driver Drowsiness Detection: Systems and Solutions (2014). Practical Image and Video Processing Using MATLAB (in Chinese) (2013). Visual Information Retrieval Using Java and LIRE (2013). Practical Image and Video Processing Using MATLAB (2011). Handbook of Video Databases (2003). Content-Based Image and Video Retrieval (2002). Processamento Digital de Imagens (in Portuguese) (1999). Driver Drowsiness Detection: Systems and Solutions. Aleksandar Čolić, Oge Marques. It is targeted at researchers and practi...

multimediacommons.wordpress.com multimediacommons.wordpress.com

YLI Feature Corpus | The Multimedia Commons Initiative

https://multimediacommons.wordpress.com/features

The Multimedia Commons Initiative. A research community around the YFCC100M dataset. YLI-GEO: Placing Task Subcorpus. YLI-MED: Event Detection Subcorpus. Tag and Caption Prediction Challenge. The YLI Feature Corpus. The YLI Feature Corpus includes audio, visual, and motion features commonly used in multimedia analysis and research, computed on each of the images and videos in the Yahoo Flickr Creative Commons 100 Million (YFCC100M) dataset. Overview of the YLI Feature Corpus. Visual features computed for...

whatanime.ga whatanime.ga

WAIT: What Anime Is This? - About

https://whatanime.ga/about

Life is too short to answer all the "What is the anime? Questions. Let computers do that for you. Whatanime.ga is a test-of-concept prototype search engine that helps users trace back the original anime by screenshot. It searches over 15600 hours of anime and find the best matching scene. It tells you what anime it is, from which episode and the time that scene appears. Since the search result may not be accurate, it provides a few seconds of preview for verification. Most Anime since 2000 are indexed, b...

angelikaszysz.wordpress.com angelikaszysz.wordpress.com

February | 2015 | Angelika Szysz - Final Year Project

https://angelikaszysz.wordpress.com/2015/02

Angelika Szysz – Final Year Project. Monthly Archives: February 2015. February 23, 2015. CW 7 and 8 (9th February – 22nd February) Caffe installation. The main focus for CW 7 was installation of ‘caffe’, which had been chosen as a solution to extract the input image features. The main reason for choosing caffe was because it has been used in one of the projects by Insight, mentioned in a previous post. February 9, 2015. CW 6 (2nd February – 8th February) LIRe or AlexNet? I have also completed the first t...

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LIRE - Open Source Visual Information Retrieval

LIRE: Lucene Image Retrieval. LIRE is a Java library that provides a simple way to retrieve images and photos based on their color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR). Easy to use methods for searching the index and result browsing are provided by LIRE. The LIRE library and the demo application - as well as all the test and development source - are available under the GNU GPL license. State of the Art. We are happy to help yo...

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LIRE - Open Source Visual Information Retrieval

LIRE: Lucene Image Retrieval. LIRE is a Java library that provides a simple way to retrieve images and photos based on color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR) using local and global state-of-the-art methods. Easy to use methods for searching the index and result browsing are provided. Best of all: it's all open source. LIRE comes without secrets. All the state of the art algorithms are available in source. State of the Art.

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