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Opendata, web and dolomites

ShopStar

Image learning to create a new online marketing tool

Total Cost €

EC-Contrib. €

Partnership

Views

Outcomes and
results

ShopStar project word cloud

Explore the words cloud of the ShopStar project. It provides you a very rough idea of what is the project "ShopStar" about.

image lacks adapt international clothing readers links figure closer retailers items buy industry ambition base larger give catalogues initial 300 revenue look worldwide disruptive small magazines monetise feasibility milliseconds europe ways photos business public generate selling shopstar category proportion groups isolation sold people shopedia refine plain opportunity specifications leader falling representing solution commercial photo context link advertising receive customer publications version images content website click amazon validate match automated running 8000 celebrity fee creates item times approach clients technological shown invasive model proof online grazia revenues innovative media recognise background redirected commercialised positioning lucrative clothes detect

Project "ShopStar" data sheet

The following table provides information about the project.

Coordinator	SHOPEDIA Organization address address: 16 RUE DES BLANCS MANTEAUX city: PARIS postcode: 75004 website: n.a. 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	France [FR]
Project website	http://www.shopedia.fr/
Total cost	71˙429 €
EC max contribution	50˙000 € (70%)
Programme	1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) 2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
Code Call	H2020-SMEINST-1-2015
Funding Scheme	SME-1
Starting year	2015
Duration (year-month-day)	from 2015-12-01 to 2016-05-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	SHOPEDIA SHOPEDIA Organization address address: 16 RUE DES BLANCS MANTEAUX city: PARIS postcode: 75004 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS)	coordinator	50˙000.00

Map

Project objective

Europe’s media industry lacks an effective business model for their online content, particularly in the context of falling revenues from traditional online advertising – they need new ways to effectively monetise their content.

Our aim is to allow media to generate revenue from their online images. We apply innovative image-analysis technology to detect clothes in online images, and match them with clothes in retailers’ online product catalogues. This creates a lucrative collaboration between online media and retailers – for every customer redirected to a retailers’ website via an online image, media publications receive a commission fee.

An initial version of this automated technology (running in under 300 milliseconds) has already been developed. We can recognise photos of clothes in isolation (an image of an item of clothing on a plain background) and match them to the clothes sold by our 8000 partner retailers (Amazon, H&M…). We then give readers the opportunity to click to find a link to buy the same or similar item. This solution has already been commercialised to several leading magazines (including Closer, Grazia & Be), who have seen online advertising revenues increase by up to 6 times. However, photos of clothes in isolation represent only a small proportion of online images.

Our ambition is therefore to adapt our technology to detect clothes in photos of people – representing a much larger proportion of online images. Online readers will be able to click to “Get the Look” of a celebrity or public figure in an online photo, and will be shown links to retailers selling similar items. The aim of our feasibility study is to refine the technological specifications and validate the commercial proof of concept with a base of current and potential clients.

With ShopStar, we are creating a non-invasive advertising solution that can be deployed to international media groups worldwide, positioning Shopedia as category leader for this disruptive new approach

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SHOPSTAR" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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