Opendata, web and dolomites

ToothPic

ToothPic, a large-scale camera identification system based on compressed fingerprints

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "ToothPic" data sheet

The following table provides information about the project.

Coordinator
POLITECNICO DI TORINO 

Organization address
address: CORSO DUCA DEGLI ABRUZZI 24
city: TORINO
postcode: 10129
website: www.polito.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 149˙526 €
 EC max contribution 149˙526 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-PoC
 Funding Scheme ERC-POC
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    POLITECNICO DI TORINO IT (TORINO) coordinator 149˙526.00

Map

 Project objective

The continuously growing amount of photos posted and distributed over the Internet poses several important problems related to improper use of images, such as exploiting them for commercial purposes, re-posting others’ photos without consent or infringing copyright, posting photos containing unethical or illegal contents, and so forth. Camera identification, which refers to identifying which digital imaging sensor has shot a given picture, exploiting the fact that each sensor leaves a unique fingerprint in all pictures, is a key ingredient in the solution to the aforementioned problems. The ToothPic project aims at validating a breakthrough camera identification technology developed during ERC starting grant “CRISP”. This technology is based on a novel compressed fingerprint format and outperforms state-of-the art techniques by orders of magnitude in terms of storage requirements and identification speed. As a consequence, it enables the deployment of camera-identification services on an unprecedented scale, paving the way for application to popular image sharing and social media sites. The proof-of-concept will consist in a very high-speed implementation of the camera identification core functionality, which will be used to validate the capability of the proposed technology to handle scenarios involving 100 millions of sensor fingerprints, in real time and at a low cost. A set of demo applications, including a public search engine, taking as input a camera fingerprint or a photo and returning a list of photos acquired by the same camera, will also be implemented in order to raise a broad public interest and attract industries and venture capitalists. Upon successful validation, a European start-up company named “ToothPic” will be created to commercialise the proposed technology.

 Publications

year authors and title journal last update
List of publications.
2016 D. Valsesia; G. Coluccia; T. Bianchi; E. Magli
Toothpic: Who took this picture?
published pages: 1-2, ISSN: , DOI: 10.1109/ICMEW.2016.7574702
2016 IEEE International Conference on Multimedia & Expo Workshops July 2016 2019-07-24

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The information about "TOOTHPIC" are provided by the European Opendata Portal: CORDIS opendata.

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