Explore the words cloud of the MINDPICS project. It provides you a very rough idea of what is the project "MINDPICS" about.
The following table provides information about the project.
Coordinator |
VISUAL TAGGING SERVICES
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | http://platform.visual-tagging.com/ |
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-1-2016-2017 |
Funding Scheme | SME-1 |
Starting year | 2016 |
Duration (year-month-day) | from 2016-07-01 to 2016-11-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | VISUAL TAGGING SERVICES | ES (BARCELONA) | coordinator | 50˙000.00 |
The social media, as a major platform for communication and information exchange, provides a rich repository of the opinions and sentiments of 2.3 billion users about a vast spectrum of topics. Such knowledge is playing an important role to understand and predict human decision making, while becoming essential for digital marketing, brand monitoring, and customer understanding, among others. Although social marketing budget is doubling each year, reaching 9 billion dollars in 2015 in US alone, the analysis of trends, topics and brands in social networks is based solely on textual posts. Despite the fact that 65% of users are visual learners, the knowledge embedded in the 1.8 billion photos uploaded daily in public profiles is ignored. Based on this gap in coverage, we propose a platform which applies the most modern machine learning techniques, based on Deep Learning, to understand near 1 million images publicly shared per day, for the inference of relevant insights from social profiles. In essence, this visual knowledge is extracted using our current know-how on image understanding, in the form of a working, validated prototype which generates a description of (i) soft-biometric characteristics of people appearing in shared pictures; (ii) their type of clothes, logos, objects and scenes; and, (iii) when available, its geolocalisation and accompanying texts. Working during this project in a proper combination of these sources of knowledge will enable the final product to estimate more accurately the social user's demands and cultural-driven interests, eventually reaching some degree of personality trait description. Discovering the hidden customers of a given brand, based on the pictures shared in their public profiles, will revolutionize the next generation of analytical tools for social networks monitoring, making the process of images understanding an essential source of information in future marketing, anthropology, sociology, and political studies
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MINDPICS" 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 "MINDPICS" are provided by the European Opendata Portal: CORDIS opendata.
PsstMenu allows customers to place orders directly from home or restaurant tables using only a smartphone.
Read MoreTECHNOLOGY FOR THE IMPROVEMENT OF SPORTS PERFORMANCE IN NON-PROFESSIONAL CONTEXTS
Read MoreTelocate ASSIST – Development and marketing of an acoustic solution for localization and navigation of people in buildings using the smartphone
Read More