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Lookup NU author(s): Dr Deepayan BhowmikORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023 IEEE. Trusted distribution and consumption of media content has become a challenging issue, especially with the advancement of machine learning-based techniques such as deep fake. To address such challenges, this paper proposes a new metadata schema which is embedded within a larger framework that facilitates trusted media distribution. This schema is realised through a distributed media blockchain core in conjunction with algorithms to detect media modifications. Such a framework is expected to improve trust in media consumption, ensuring media integrity, authenticity and provenance.
Author(s): Rainey J, Elawady M, Abhayartne C, Bhowmik D
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 24th International Conference on Digital Signal Processing (DSP 2023)
Year of Conference: 2023
Online publication date: 05/07/2023
Acceptance date: 02/04/2018
Date deposited: 29/09/2023
ISSN: 2165-3577
Publisher: IEEE
URL: https://doi.org/10.1109/DSP58604.2023.10167909
DOI: 10.1109/DSP58604.2023.10167909
Library holdings: Search Newcastle University Library for this item
ISBN: 9798350339598
