Year: 2015
Type: conference-paper
Abstract: This paper provides an overview of the Verifying Multimedia Use task that takes places as part of the 2015 MediaEval Benchmark.The task deals with the automatic detection of manipulation and misuse of Web multimedia content.Its aim is to lay the basis for a future generation of tools that could assist media professionals in the process of verification.Examples of manipulation include maliciously tampering with images and videos, e.g., splicing, removal/addition of elements, while other kinds of misuse include the reposting of previously captured multimedia content in a different context (e.g., a new event) claiming that it was captured there.For the 2015 edition of the task, we have generated and made available a large corpus of real-world cases of images that were distributed through tweets, along with manually assigned labels regarding their use, i.e. misleading (fake) versus appropriate (real).
Source: Iris (University of Trento)
Authors: Christina Boididou, Symeon Papadopoulos, Duc‐Tien Dang‐Nguyen, Giulia Boato, Michael A. Riegler, Stuart E. Middleton, Andreas Petlund, Ioannis Kompatsiaris
Institutions: University of Trento, Simula Research Laboratory
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W2296241532
