I've been using Lire for a little while now and was happy to see a plugin
for ES had been created. Great work.
I have a question about the score in ES vs the score in Lire.
For the same dataset, indexed with the same features, and then searched
with the same feature I get the same results however, there are different
scores in the ES results from those in the Lire results, is this normal?
I'm asking because I have some historical stuff which has recorded the
scores given by Lire, and the lower ES scores are going to make it
problematic to use the plugin.
ES top 3 scores:
Lire Jar top 3 scores:
I'm keen to use ES as it helps to solve some scaling problems. But I'm very
new to ES so I'm not sure how to look in to the difference with the
scoring, do you have any insight?
On Thursday, March 20, 2014 10:41:20 AM UTC, Kevin Wang wrote:
I've released version 1.2.0 of Elasticsearch Image Plugin.
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.
Changes in 1.2.0:
- Use multi-thread when multiple features are required to improve
- Allow index metadata
- Allow query by existing image in index
Also I've created a demo website for this plugin (
http://demo.elasticsearch-image.com/), it has 1,000,000 images from
MIRFLICKR-1M collection (http://press.liacs.nl/mirflickr)
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