NDLI: A Novel 3D Video Fingerprinting Algorithm Based on Local Feature Points

Content Provider	IET Digital Library
Author	Sun, Ziqiang Zhu, Yuesheng Liu, Xiyao
Abstract	Digital rights management of the 3D contents is a crucial open issue in the 3D video industry. A novel robust fingerprinting algorithm is proposed for protecting the copyright of the 3D video. Unlike the existing algorithms extracting visual features separately from the 2D videos and the depth maps, in our algorithm a novel local stereo space is constructed according to the depth information of the pixels around the extracted local feature points in the 2D videos, and the 3D videos are processed in a holistic manner. In the proposed space, the 3D-transform-feature is extracted and aggregated into a feature matrix, and then the compact 3D video fingerprints are obtained from the eigenspace of the matrix. Our comprehensive experiments are conducted on a 3D video database, and the results have demonstrated the robustness and discrimination of the proposed algorithm. Moreover, our fingerprints cost less storage spaces than the existing approaches.
Starting Page	1192
Ending Page	1199
Page Count	8
ISSN	10224653
Volume Number	27
e-ISSN	20755597
Issue Number	Issue 6, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/27/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2018.08.010
Journal	Chinese Journal of Electronics
Publisher Date	2018-11-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	3D Video Database 3D Video Fingerprinting Algorithm 3D Video Fingerprints 3D Video Industry 3D-transform-feature Computer Vision And Image Processing Technique Depth Maps Digital Rights Management Extracted Local Feature Point Feature Extraction Feature Matrix Fingerprint Identification Image Recognition Robust Fingerprinting Algorithm Stereo Image Processing Video Database Video Signal Processing Visual Feature
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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