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Grire-example

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

https://github.com/ajmalmsali/Grire-example

Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates

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

Abstract

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.

 

https://imatge.upc.edu/web/publications/clickncut-crowdsourced-interactive-segmentation-object-candidates

PhD position in computer vision and virtual currencies

Application deadline: Thu, 07/17/2014

Location:Girona, Spain

Employer:University of Girona & Social Currencies Management,SL

The University of Girona and the spin-off Social Currencies Management, SL are looking for a PhD candidate to investigate and develop algorithms on computer vision and social currencies, looking for new ways to monetize the visual content available on the social web.

We offer a three years PhD position with full time salary. This is a good opportunity to explore both, research at academic and industry level at the city of Girona (100km north from Barcelona).

The candidate should have a master degree on computer vision or similar and English proficiency. Experience on basic programming languages (matlab, C, C++, visual C etc.. ) and knowledge on artificial intelligence is also desired.

We are searching for a motivated PhD candidate with a background in machine learning to work on the areas of computer vision and multi-media (recognition, person dentification, attribute learning, weakly supervised learning), sentiment analysis, and internet/web data analytics.

Deadline: 17 July 2014

Start Date: October 2014

For further information please contact Anna Bosch (anna.easyinnova@gmail.com)

Project Description:

To date, the internet has been monetized primarily by text-based ads. In fact, an entire industry has developed around keyword optimization for ad buyers. Words drive SEO. Words drive Google and Facebook ads. Words drive economy of the web. However, it appears that Facebook will now be more show than tell. The shift to a personal newspaper-style format with larger and more prominent photo displays is a response to photo driven behaviour that has rapidly changed the social media landscape. In fact, Facebook CEO Mark Zuckerberg says that 50% of all posts are now pictures, double the amount from just a year ago. As we move toward a visual-centric content universe, the Machines that monetize the internet need to keep up with the times.

We wish to investigate on image intelligence; a way to systematically scan and detect the presence of brand logos, packaging, and products lurking  inside the billions of consumer photos streaming into the internet each week; and a way to detect which are the most interesting images for the social users and that can be further used for branding. (According to Facebook, this social network alone gets more than 300 million photo uploads daily). A smart computer vision system applied to those photos could extract the relevant meta-data and essentially turn your friends’ pictures into buyable ad units. You click on the photo and are presented with targeted sales offers.

http://www.computervisiononline.com/jobs/4046

Project TangoOver the past 18 months, Projec

Over the past 18 months, Project Tango has been collaborating with robotics laboratories from around the world to concentrate the past decade of research and computer vision into a new class of mobile device.