publication . Part of book or chapter of book . Conference object . 2016

A Web-Based Service for Disturbing Image Detection

Symeon Papadopoulos;
Open Access
  • Published: 31 Dec 2016
  • Publisher: Springer International Publishing
Abstract
As User Generated Content takes up an increasing share of the total Internet multimedia traffic, it becomes increasingly important to protect users (be they consumers or professionals, such as journalists) from potentially traumatizing content that is accessible on the web. In this demonstration, we present a web service that can identify disturbing or graphic content in images. The service can be used by platforms for filtering or to warn users prior to exposing them to such content. We evaluate the performance of the service and propose solutions towards extending the training dataset and thus further improving the performance of the service, while minimizing ...
Subjects
free text keywords: disturbing content, violence detection, convolutional neural networks, Transfer of learning, User-generated content, Computer vision, Image detection, Web application, business.industry, business, Filter (signal processing), Web service, computer.software_genre, computer, Artificial intelligence, Multimedia, Convolutional neural network, Internet multimedia, Computer science
Related Organizations
Funded by
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
,
EC| REVEAL
Project
REVEAL
REVEALing hidden concepts in Social Media
  • Funder: European Commission (EC)
  • Project Code: 610928
  • Funding stream: FP7 | SP1 | ICT
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publication . Part of book or chapter of book . Conference object . 2016

A Web-Based Service for Disturbing Image Detection

Symeon Papadopoulos;