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Lookup NU author(s): Dr Deepayan BhowmikORCiD
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© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. The exploitation of film and video content on physical media, broadcast and Internet involves working with many large media files. The move to file-based workflows necessitates the copying and transfer of digital assets amongst many parties, but the detachment of assets and their metadata leads to issues of reliability, quality and security. This paper proposes a novel watermarking-based approach to deliver a unique solution to enable digital media assets to be maintained with their metadata persistently and robustly. Watermarking-based solution for entertainment content manifests new challenges, including maintaining high quality of the media content, robustness to compression and file format changes and synchronisation against scene editing. The proposed work addresses these challenges and demonstrates interoperability with an existing industrial software framework for media asset management (MAM) systems.
Author(s): Bhowmik D, Abhayaratne C, Green S
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Computational Intelligence and Machine Learning Proceedings of the 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019)
Year of Conference: 2021
Pages: 185-198
Online publication date: 25/11/2020
Acceptance date: 02/04/2018
Publisher: Springer
URL: https://doi.org/10.1007/978-981-15-8610-1_19
DOI: 10.1007/978-981-15-8610-1_19
Library holdings: Search Newcastle University Library for this item
Series Title: Advances in Intelligent Systems and Computing
ISBN: 9789811586095
