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Scene-based imperceptible-visible watermarking for HDR video content
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Perez-Daniel, K., Garcia-Ugalde, F. and Sanchez Silva, Victor (2019) Scene-based imperceptible-visible watermarking for HDR video content. In: 2019 International Workshop on Biometric and Forensics, Cancun, Mexico, 2-3 May 2019 ISBN 9781728106229. doi:10.1109/IWBF.2019.8739184
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WRAP-scene-based-imperceptible-visible-watermarking-HDR-video-content-Sanchez-2019.pdf - Accepted Version - Requires a PDF viewer. Download (2736Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/IWBF.2019.8739184
Abstract
This paper presents the High Dynamic Range - Imperceptible Visible Watermarking for HDR video content (HDR-IVW-V) based on scene detection for robust copyright protection of HDR videos using a visually imperceptible watermarking methodology. HDR-IVW-V employs scene detection to reduce both computational complexity and undesired visual attention to watermarked regions. Visual imperceptibility is achieved by finding the region of a frame with the highest hiding capacities on which the Human Visual System (HVS) cannot recognize the embedded watermark. The embedded watermark remains visually imperceptible as long as the normal color calibration parameters are held. HDR-IVW-V is evaluated on PQ-encoded HDR video content successfully attaining visual imperceptibility, robustness to tone mapping operations and image quality preservation.
| Item Type: | Conference Item (Poster) | |||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) T Technology > TR Photography |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||
| Library of Congress Subject Headings (LCSH): | Watermarks, Digital watermarking , Data encryption (Computer science) , High dynamic range imaging | |||||||||
| ISBN: | 9781728106229 | |||||||||
| Official Date: | 20 June 2019 | |||||||||
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| DOI: | 10.1109/IWBF.2019.8739184 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Reuse Statement (publisher, data, author rights): | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Copyright Holders: | IEEE | |||||||||
| Date of first compliant deposit: | 15 May 2020 | |||||||||
| Date of first compliant Open Access: | 19 May 2020 | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Poster | |||||||||
| Title of Event: | 2019 International Workshop on Biometric and Forensics | |||||||||
| Type of Event: | Workshop | |||||||||
| Location of Event: | Cancun, Mexico | |||||||||
| Date(s) of Event: | 2-3 May 2019 |
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