This is an example implementation of Golden Retriever - an open source Image Retrieval Engine, located at grire.net
You may use this source for building a command line based image search engine.
Example command line arguments.
Adding an imagefolder
java -jar ajmg6.jar create ImagePoolName /home/username/YourGrireDb/db /home/username/YourImageFilesFolder 1f multi
Searching for an Image
java -jar ajmg6.jar search ImagePoolName /home/username/YourGrireDb/db /home/username/YourSourceFile.jpg
Carlier A, Salvador A, Giró-i-Nieto X, Marques O, Charvillat V. Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates. In: 3rd International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). In Press
This paper introduces Click’n’Cut, a novel web tool for in- teractive object segmentation addressed to crowdsourcing tasks. Click’n’Cut combines bounding boxes and clicks gen- erated by workers to obtain accurate object segmentations. These segmentations are created by combining precomputed object candidates in a light computational fashion that al- lows an immediate response from the interface. Click’n’Cut has been tested with a crowdsourcing campaign to anno- tate a subset of the Berkeley Segmentation Dataset (BSDS). Results show competitive results with state of the art, es- pecially in time to converge to a high quality segmentation. The data collection campaign included golden standard tests to detect cheaters.