Opendata, web and dolomites

ShopStar

Image learning to create a new online marketing tool

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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 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.

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

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 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.

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