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.

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

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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