# ElasticSearch5系での画像検索方法を知りたい

**URL:** <https://discuss.elastic.co/t/elasticsearch5/62120>\
**Category:** 日本語による質問・議論はこちら\
**Created:** [October 4, 2016, 1:00am UTC](https://discuss.elastic.co/t/elasticsearch5/62120 "2016-10-04T01:00:53Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![johtani](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/johtani/32/44956_2.png) [@johtani](https://discuss.elastic.co/u/johtani)\
**Post date:** [October 7, 2016, 3:53am UTC](https://discuss.elastic.co/t/elasticsearch5/62120/2 "2016-10-07T03:53:15Z")

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どういう画像検索をお望みかはわからないですが、  
image pluginをフォークしてメンテナンスしている方はいるようです。

> **[GitHub - kiwionly/elasticsearch-image: Content Based Image Retrieval Plugin...](https://github.com/kiwionly/elasticsearch-image)**
>
> Content Based Image Retrieval Plugin for Elasticsearch. It allows users to index images and search for similar images. - GitHub - kiwionly/elasticsearch-image: Content Based Image Retrieval Plugin ...

あとはこの辺りが参考になるかもしれません。

> [@Categorizing images with deep learning into Elasticsearch](https://discuss.elastic.co/t/categorizing-images-with-deep-learning-into-elasticsearch/33217):
>
> Hi all, I've built a short pipeline for using deep learning over images (e.g. for image categorization) and indexing them into Elasticsearch. I thought this could be of interest to other practitioners as well. In a nutshell, this allows to tag and retrieve image documents via ES even when no caption is available. On the technical side, a deep learning server directly pushes the image classification results into an instance of ES, so that no glue code is necessary. See [http://www.deepdetect.c…](http://www.deepdetect.com/tutorials/es-image-classifier/)

> [@What is the best scheme for similarity search based on binary codes with Elasticsearch ? (Context is image search with deep nets)](https://discuss.elastic.co/t/what-is-the-best-scheme-for-similarity-search-based-on-binary-codes-with-elasticsearch-context-is-image-search-with-deep-nets/42915):
>
> Hi Elastic! We're using deep convolutional neural networks to fast process images and make the building of image similarity search engines a commodity for everyone. Our pipeline uses the neural nets to turn images into actionable binary (or float) hash codes that are then used for image similarity retrieval. Performances and accuracy are well above those of existing techniques such as the LIRE plugin ([https://www.elastic.co/blog/found-getting-started-with-lire-and-elasticsearch](https://www.elastic.co/blog/found-getting-started-with-lire-and-elasticsearch)). An easy to re…

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