Project description
FET Open
With the rapid proliferation of inexpensive acquisition and storage devices multimedia objects can be easily created, stored, transmitted, modified and tampered with by anyone. During its lifetime, a digital object might go through several processing stages, including multiple analog-to-digital (A/D) and digital-to-analog (D/A) conversions, coding and decoding, transmission, editing (either aimed at enhancing the quality, creating new contents mixing pre-existing materials, or tampering with the content). The REWIND (REVerse engineering of audio- VIsual coNtent Data) project is aimed at synergistically combining principles of signal processing, machine learning and information theory to answer relevant questions on the past history of such objects. The REWIND proposal starts from the observation that each of these processing steps necessarily leaves a characteristic footprint, which can be potentially detected to trace back the past history of the available multimedia object in a blind fashion, i.e. without having access to the original content. Note that, in many cases, these processing steps introduce undesired and irreversible distortions ("misprints") in the original multimedia object, e.g. due to insufficient sampling rate in the acquisition phase, coding artifacts in lossy compression, or imperfect error concealment strategies. Considerable efforts in multimedia processing research have been directed therefore towards a more comprehensive understanding of how to prevent these artifacts through, for instance, error-resilience mechanisms or techniques to avoid undesired or unauthorized modifications of the content streams.REWIND intends to develop innovative tools and approaches to reverse this perspective completely: footprints are considered as an asset, i.e. a source of additional information about the multimedia object history, which can be leveraged to reconstruct the processing chain applied to the audio-video digital object.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- humanities history and archaeology history
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2009-C
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
20133 Milano
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.