Video watermarking for copyright protection with genetic-based frame selection
Other Title(s)
العلامة المائية لحماية حقوق الطبع و النشر لمقاطع الفيديو بالاعتماد على اختيار الإطار الوراثي للمقطع
Author
Source
Journal of King Abdulaziz University : Computing and Information Technology Sciences
Issue
Vol. 8, Issue 2 (31 Dec. 2019), pp.33-45, 13 p.
Publisher
King Abdul Aziz University Faculty of Computing and Information Technology
Publication Date
2019-12-31
Country of Publication
Saudi Arabia
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Recently, video watermarking has received much consideration.
Several applications in a variety of domains have been implemented, and many are progressing.
This paper intends to formulate a novel video watermarking framework that includes three stages: (i) Optimal video frame prediction, (ii) A watermark embedding process, and (iii) A watermark extraction process.
In the proposed model, the optimal frame prediction is carried out using the deep belief network (DBN) framework.
Initially, randomly chosen frames from each video are used as the input to a genetic algorithm (GA) model that optimally chooses the frames such that the peak signal-tonoise ratio (PSNR) should be maximal.
The frames are assigned with a label of one or zero, where a label of one denotes a frame with better PSNR (can select for embedding process) and a label of zero denotes the frame with reduced PSNR (cannot be used for embedding).
Consequently, a data library is formed from the obtained results, where each video frame is determined with their graylevel cooccurrence matrix (GLCM) features and labels (can embed or not), which is then trained in the DBN framework, from which the optimal frames can be predicted efficiently while testing.
Furthermore, the watermark embedding process and watermark extraction process are carried out, and thus, the image can be embedded within the optimally selected frames.
American Psychological Association (APA)
al-Utaybi, Suud Salih. 2019. Video watermarking for copyright protection with genetic-based frame selection. Journal of King Abdulaziz University : Computing and Information Technology Sciences،Vol. 8, no. 2, pp.33-45.
https://search.emarefa.net/detail/BIM-931477
Modern Language Association (MLA)
al-Utaybi, Suud Salih. Video watermarking for copyright protection with genetic-based frame selection. Journal of King Abdulaziz University : Computing and Information Technology Sciences Vol. 8, no. 2 (2019), pp.33-45.
https://search.emarefa.net/detail/BIM-931477
American Medical Association (AMA)
al-Utaybi, Suud Salih. Video watermarking for copyright protection with genetic-based frame selection. Journal of King Abdulaziz University : Computing and Information Technology Sciences. 2019. Vol. 8, no. 2, pp.33-45.
https://search.emarefa.net/detail/BIM-931477
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 43-44
Record ID
BIM-931477