Video watermarking for persistent and robust tracking of entertainment content (PARTEC)

Bhowmik, D., Abhayaratne, C. orcid.org/0000-0002-2799-7395 and Green, S. (2020) Video watermarking for persistent and robust tracking of entertainment content (PARTEC). In: Mandal, J.K., Mukherjee, I., Bakshi, S., Chatterji, S. and Sa, P.K., (eds.) Computational Intelligence and Machine Learning : Proceedings of the 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019). 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019), 20-21 Dec 2019, West Bengal, India. Springer Singapore , pp. 185-198. ISBN 9789811586095

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Mandal, J.K.
  • Mukherjee, I.
  • Bakshi, S.
  • Chatterji, S.
  • Sa, P.K.
Copyright, Publisher and Additional Information:

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. This is an author-produced version of a paper subsequently published in Proceedings of the 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019). Uploaded in accordance with the publisher's self-archiving policy.

Dates:
  • Published: 25 November 2020
  • Published (online): 25 November 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 06 Jan 2021 08:46
Last Modified: 25 Nov 2021 01:38
Status: Published
Publisher: Springer Singapore
Refereed: Yes
Identification Number: 10.1007/978-981-15-8610-1_19
Open Archives Initiative ID (OAI ID):

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