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FashionBrain project deliverables

The page lists 20 deliverables related to the research project "FashionBrain".

 List of Deliverables

FashionBrain: list of downloadable deliverables.
title and desprition type last update

Project factsheet

A brief project Fact Sheet suitable for Web publishing will be published within one month
from the start of the project. The Fact Sheet will outline the project\'s rationale and
objectives, specify its technical baseline and intended target groups and application
domains, and detail intermediate and final outputs. The Fact Sheet can be used by the
Commission for its own dissemination and awareness activities throughout the project
lifecycle, and may be published on EC and EC sponsored Web sites. The factsheet has to
be maintained and updated until the end of the project; this will be documented in the
regular reporting.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09

Named Entity Recognition and Linking methods

As a result of task 1.1, this deliverable will consists of implemented algorithms for entity extraction from textual documents and linking to the ontology defined in WP1. The result will feed into WP 4, 5, and 6.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Other 2020-04-09

Project Web site

Setting up the public, general audience targeted project Web site. The site will provide
project overviews and highlights; up-to-date information on intermediate and final project
results, including public reports and publications as well as synthesis reports drawn from
selected confidential material in non-proprietary formats (e.g. PDF); project events,
including e.g. user group meetings, conferences and workshops; contact details, etc. The
project\'s Web site first point of access will describe the goals of the project in a simple
jargon free language. The Web site will be maintained and updated until the end of the
project. All open source components published will be extensively documented by means
of textual documents and screencasts of professional quality illustrating how to download,
install and operate the components in question. Documentation manuals and screencasts
will be specifically identified as project deliverables and prominently published on the
project\'s Web site.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Websites, patent fillings, videos etc. 2020-04-09

Report on text joins

This report will describe our methodology for learning text joins and a robust entity recognizer for the fashion domain.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09

Early Demo on textual image search

This deliverable consists of a preliminary image search prototype based on textual entities. This is the basis for D 6.5, which will extend the textual component by NLP and multi-linguality.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Demonstrators, pilots, prototypes 2020-04-09

The classification algorithm and its evaluation on fashion time series

As a result of task 5.3, this deliverable will consist of implemented algorithms that will be integrated within the data integration infrastructure developed within WP2 (T 2.3).

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Other 2020-04-09

Demo on Fashion Trend Prediction

This demo will show how a particular fashion trend (style) is detected on fashion time series over time. The prediction will be implemented as an operator in MonetDB.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Demonstrators, pilots, prototypes 2020-04-09

Communication plan

This deliverable will contain a plan of communications relevant for the project
dissemination and community building activities including planned activities to support standardisation and interoperability. Outcomes of these efforts will be
reported in Periodic Activity Reports produced in WP7.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09

Early Demo on Fashion Trend Prediction

This early demo will show how it will be possible to detect fashion trends (style) on fashion time series over time.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Demonstrators, pilots, prototypes 2020-04-09

Surveys design and crowdsourcing tasks

The tangible result of task 3.3 will be models generated by means of crowdsourcing which will be used to address our use-cases in WP5 and WP6.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09

Relation Extraction with Stacked Deep Learning

This report integrates relation extraction and stacked deep learning for selected relations of the Zalando FDWH. We will investigate, how much of the training should be executed in the database or how much may be shipped to a less expensive GPU-based architecture.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09

Product Taxonomy Linking

This deliverable extends D5.1 with a demo that integrates the products social media posts linking, that means that we recognise products from different social media channels.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Demonstrators, pilots, prototypes 2020-04-09

Demo on text joins

This demo presents fully functional and documented text joins for the example of the Zalando FDWH. Given a fashion data warehouse, we will demo executing text joins for common (and often idiosyncratic) fashion entities, such as brand or products.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Demonstrators, pilots, prototypes 2020-04-09

A set of crowdsourcing interfaces

This deliverable will consist of a set of Human Intelligence Task design experimentally validated for object recognition in images, Validation of named entity extraction, image labeling. This will be available for tasks in WP5.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Other 2020-04-09

Survey document of existing datasets and data integration solutions (M6)

This deliverable will consist of an overview of existing state-of-the-art solutions for data integration including infrastructures, algorithms, and datasets covering both academic research as well as industry solutions. This will be the result of Task 1.1.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09

Scalable Crowdsourced Social Media Annotation

This deliverable consists of a publicly available website with data visualization functionalities. We demonstrate that we analysed hundreds of fashion blogs, instagram profiles and that we are able to constantly update the profiles with recently published images.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Demonstrators, pilots, prototypes 2020-04-09

Software Requirements: SSM library for time series modelling and trend prediction

Most modern algorithms of State Space Models (SSM) for time series analysis and probabilistic inference will be summarised in this deliverable and will be used as a basis for future software developments in the project. The output will be available for project internal and public use.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09

Data integration solution

A MonetDB data integration solution for modeling and storing i) the different available datasets from all partners, ii) the taxonomy, iii) the extracted named entities and links. The deliverable will also include the extension of MonetDB with JSON support to include the management of semi-structured data. The proposed solution will be used in WP4, WP5, and WP6.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Other 2020-04-09

A set of aggregation algorithms and their experimental evaluation

As a result of task 3.2, this deliverable will consist of implemented algorithms that will be integrated within the data integration infrastructure developed within WP2 and will feed into WP5,6, and 7.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Other 2020-04-09

Showcase specification

This deliverable will contain a specification of the FashionBrain data integration infrastructure including design of promotion material and requirements for software needed to run it.

Programme: H2020-EU.2.1.1. - Topic(s): ICT-14-2016-2017

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Documents, reports 2020-04-09