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DEPRECATED

Please note, this project is deprecated and no longer being maintained. Because of my limited time for make it work on upward version, and that is no very detail official plug-in guideline in E.S, not to mentioned E.S code is change so fast that usually the code is not backward compatible.

However, instead of implements it as plug-in, that is another way to do so link, the only down side is you need to write more low level code instead.

Image Plugin for Elasticsearch

The Image Plugin is an Content Based Image Retrieval Plugin for Elasticsearch using LIRE (Lucene Image Retrieval). It allows users to index images and search for similar images.

It adds an image field type and an image query.

To create the plugin, open cmd or shell at this directory, enter gradlew plugin.

Once the build done, you can find the distribution in build/distribution directory, unzip this file to %elasticsearch%/plugins/elasticsearch-image-x.x.x where the x is the version number.

Image Plugin elasticsearch Release date
2.4.1 2.4.1 2016-10-28
2.4.0 2.4.0 2016-09-28
2.3.4 2.3.4 2016-07-18
2.3.3 2.3.3 2016-06-13
2.3.2 2.3.2 2016-05-16
2.2.0 2.2.0 2016-03-01
2.1.1 2.1.1 2016-01-09
1.3.0-SNAPSHOT (master) 1.1.0
1.2.0 1.0.1 2014-03-20
1.1.0 1.0.1 2014-03-13
1.0.0 1.0.1 2014-03-05

Developers:

Kevin Wang

Angelo Leto

zengde

kiwionly

youqian

Example

Create Settings

curl -XPUT 'localhost:9200/my_index' -d '{
  "settings": {
    "number_of_shards": 5,
    "number_of_replicas": 1,
    "index.version.created": 1070499
  }
}'

Since elasticsearch 2.2, that is a version checked, index version must set before version 2.0.0 beta 1.

Create Mapping

curl -XPUT 'localhost:9200/my_index/my_image_item/_mapping' -d '{
    "my_image_item": {
        "properties": {
            "my_img": {
                "type": "image",
                "feature": {
                    "CEDD": {
                        "hash": ["BIT_SAMPLING"]
                    },
                    "JCD": {
                        "hash": ["BIT_SAMPLING", "LSH"]
                    }
                },
                "metadata": {
                    "jpeg.image_width": {
                        "type": "string",
                        "store": "yes"
                    },
                    "jpeg.image_height": {
                        "type": "string",
                        "store": "yes"
                    }
                }
            }
        }
    }
}'

type should be image. This is the type register by this plugin. Mandatory

feature is a map of features for index. You can only search what you specific, e.g. base on example above, specific JCD with LSH in mapping allow search for it, but you cannot search CEDD with LSH because the index mapping for LSH is not specific and created. If you not specific hash for a feature, it won't work. Mandatory, at least one is required

hash can be set if you want to search on hash. Mandatory

metadata is a map of metadata for index, only those metadata will be indexed. See Metadata. Optional

Index Image

curl -XPOST 'localhost:9200/test/test' -d '{
    "my_img": "... base64 encoded image ..."
}'

Search Image

curl -XPOST 'localhost:9200/test/test/_search' -d '{
	"from": 0,
    "size": 3,
    "query": {
        "image": {
            "my_img": {
                "feature": "CEDD",
                "image": "... base64 encoded image to search ...",
                "hash": "BIT_SAMPLING",
                "boost": 2.1,
                "limit": 100
            }
        }
    }
}'

feature should be one of the features in the mapping. See above. Mandatory

image base64 of image to search. Optional if search using existing image

hash should be same to the hash set in mapping. See Above. Optional

boost score boost Optional

Search Image using existing image in index

curl -XPOST 'localhost:9200/test/test/_search' -d '{ 	
    "query": {
        "image": {
            "my_img": {
                "feature": "CEDD",
                "index": "test",
                "type": "test",
                "id": "image1",
                "hash": "BIT_SAMPLING"
            }
        }
    }
}'

index the index to fetch image from. Default to current index. Optional

type the type to fetch image from. Mandatory

id the id of the document to fetch image from. Mandatory

field the field specified as path to fetch image from. Example above is "my_img Optional

routing a custom routing value to be used when retrieving the external image doc. Optional

image query Builder

SearchRequestBuilder queryBuilder = searchClient.prepareSearch(INDEX)
		.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
		.setTypes("Image")
		.setFrom(from)
		.setSize(size);
	
	ImageQueryBuilder query = new ImageQueryBuilder("img");  //image field
	query.feature(feature);
	query.hash(hash);
	query.lookupIndex(INDEX);
	query.lookupType("Image");
	query.lookupId(itemId);

Metadata

Metadata are extracted using metadata-extractor. See SampleOutput for some examples of metadata.

The field name in index will be directory.tag_name, all lower case and space becomes underscore(_). e.g. if the Directory is JPEG and Tag Name is Image Height, the field name will be jpeg.image_height

Supported Image Formats

Images are processed by Java ImageIO, supported formats can be found here

Additional formats can be supported by ImageIO plugins, for example TwelveMonkeys

Supported Features

AUTO_COLOR_CORRELOGRAM, BINARY_PATTERNS_PYRAMID, CEDD, SIMPLE_COLOR_HISTOGRAM, COLOR_LAYOUT, EDGE_HISTOGRAM, FCTH, GABOR, JCD, JOINT_HISTOGRAM, JPEG_COEFFICIENT_HISTOGRAM, LOCAL_BINARY_PATTERNS, LUMINANCE_LAYOUT, OPPONENT_HISTOGRAM, PHOG, ROTATION_INVARIANT_LOCAL_BINARY_PATTERNS, SCALABLE_COLOR, TAMURA

Supported Hash Mode

BIT_SAMPLING, LSH

Hash will increase search speed with large data sets

See Large image data sets with LIRE ?some new numbers

Settings

Setting Description Default
index.image.use_thread_pool use multiple thread when multiple features are required True
index.image.ignore_metadata_error ignore errors happened during extract metadata from image True

ChangeLog

2.4.0 (2016-10-28)

  • upgrade to 2.4.1
  • remove support from maven, because is hard to remember update the dependency, if you using Maven for eclipse, please install buildship gradle plugin, it should work as expected.

2.4.0 (2016-09-28)

  • upgrade to 2.4.0

2.3.4 (2016-07-18)

  • upgrade to 2.3.4

2.3.3 (2016-06-13)

  • upgrade to 2.3.3

2.3.2 (2016-05-16)

  • fix a JCD feature bug, see here
  • thanks youqian for 2.3.2 patch.

2.2.0 (2016-03-01)

  • upgrade to lire 1.0b2.
  • all LIRE features supported.
  • index.image.use_thread_pool is optional.
  • index.version.created is mandatory in settings.
  • add gradle support. (maven no longer use)
  • simplify index and search by remove some parameters.
  • limit no longer use, use pagination from and size from elastic search instead.
  • remove ImageHashLimitQuery and ImageQuery, this 2 classes possible no longer work (I cound not make it work, also that is possibility not valid anymore for new elastic search version).

*reindex is needed if using difference version of LIRE.

2.1.1 (2016-01-06)

1.2.0 (2014-03-20)

  • Use multi-thread when multiple features are required to improve index speed
  • Allow index metadata
  • Allow query by existing image in index

1.1.0 (2014-03-13)

  • Added limit in image query
  • Added plugin version in es-plugin.properties

1.0.0 (2014-03-05)

  • initial release