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Reverse image search: Difference between revisions
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{{short description|Content-based image retrieval}} | {{short description|Content-based image retrieval}} | ||
[[Image:GoogleImageSearch.png|thumb|Reverse image search using Google Images.]] | [[Image:GoogleImageSearch.png|thumb|Reverse image search using Google Images.]] | ||
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===Pixsy=== | ===Pixsy=== | ||
Pixsy reverse image search technology detects image matches<ref>{{Cite news|url=http://www.pixsy.com/find/|title=Find stolen images - Pixsy|work=Pixsy|access-date=2017-10-20|language=en-US}}</ref> on the public internet for images uploaded to the Pixsy platform<ref>{{Cite news|url=https://theabundantartist.com/pixsy-review-find-fight-image-theft/|title=Pixsy.com review: Find & Fight Image Theft - Online Marketing for Artists -|date=2015-07-02|work=Online Marketing for Artists|access-date=2017-10-20|language=en-US}}</ref> | Pixsy reverse image search technology detects image matches<ref>{{Cite news|url=http://www.pixsy.com/find/|title=Find stolen images - Pixsy|work=Pixsy|access-date=2017-10-20|language=en-US}}</ref> on the public internet for images uploaded to the Pixsy platform.<ref>{{Cite news|url=https://theabundantartist.com/pixsy-review-find-fight-image-theft/|title=Pixsy.com review: Find & Fight Image Theft - Online Marketing for Artists -|date=2015-07-02|work=Online Marketing for Artists|access-date=2017-10-20|language=en-US}}</ref> New matches are automatically detected and alerts sent to the user. For unauthorised use, Pixsy offers a compensation recovery service<ref>{{Cite web|url=https://artlawjournal.com/pixsy-infringement-tool/|title=Pixsy: Find and Get Paid for Image Theft|last=https://plus.google.com/+SteveSchlackman|date=2014-10-18|website=artlawjournal.com|language=en-US|access-date=2017-10-20}}</ref><ref>{{Cite news|url=http://www.pixsy.com/resolve/|title=Resolve image theft - Pixsy|work=Pixsy|access-date=2017-10-20|language=en-US}}</ref> for commercial use of the image owners work. Pixsy partners with over 25 law firms and attorneys around the world to bring resolution for copyright infringement. Pixsy is the strategic image monitoring service for the Flickr platform and user.<ref>{{Cite web|url=https://petapixel.com/2019/04/09/flickr-teams-up-with-pixsy-for-the-first-end-to-end-photo-theft-solution/|title=Flickr Teams Up with Pixsy to Get You Paid When Photos Are Stolen|website=petapixel.com|access-date=2019-12-12}}</ref> | ||
=== eBay === | === eBay === | ||
eBay ShopBot uses reverse image search to find products by a user uploaded photo. eBay uses a ResNet-50 network for category recognition, image hashes are stored in Google Bigtable; Apache Spark jobs are operated by Google Cloud Dataproc for image hash extraction; and the image ranking service is deployed by Kubernetes. <ref>{{cite web|url=https://dl.acm.org/citation.cfm?id=3098162|title=Visual Search at eBay|work=acm.org}}</ref> | eBay ShopBot uses reverse image search to find products by a user uploaded photo. eBay uses a ResNet-50 network for category recognition, image hashes are stored in Google Bigtable; Apache Spark jobs are operated by Google Cloud Dataproc for image hash extraction; and the image ranking service is deployed by Kubernetes.<ref>{{cite web|url=https://dl.acm.org/citation.cfm?id=3098162|title=Visual Search at eBay|work=acm.org}}</ref> | ||
=== SK Planet === | === SK Planet === | ||
SK Planet uses reverse image search to find related fashion items on its e-commerce website. It developed the vision encoder network based on the TensorFlow ''inception-v3'', with speed of convergence and generalization for production usage. A recurrent neural network is used for multi-class classification, and fashion-product region-of interest detection is based on ''Faster R-CNN''. SK Planet's reverse image search system is built in less than 100 man-months.<ref>[https://arxiv.org/abs/1609.07859 Visual Fashion-Product Search at SK Planet]</ref> | SK Planet uses reverse image search to find related fashion items on its e-commerce website. It developed the vision encoder network based on the TensorFlow ''inception-v3'', with speed of convergence and generalization for production usage. A recurrent neural network is used for multi-class classification, and fashion-product region-of interest detection is based on ''Faster R-CNN''. SK Planet's reverse image search system is built in less than 100 man-months.<ref>[https://arxiv.org/abs/1609.07859 Visual Fashion-Product Search at SK Planet]</ref> | ||