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A digital blind watermarking scheme based on quantization index modulation in depth map for 3D video
Guan Y.2; Zhu Y.2; Liu X.2; Luo G.2; Sun Z.2; Zhang L.1
2014
Conference Name13th International Conference on Control Automation Robotics & Vision (ICARCV)
Source Publication2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Pages346-351
Conference DateDEC 10-12, 2014
Conference PlaceSingapore, SINGAPORE
Abstract

3D video provides an immersive experience to viewers and is getting more and more popular. The solution to create 3D video from 2D video is low-cost compared with that captures 3D video directly, and the generation of depth map from 2D video is a key in the 2D-3D video conversion systems. Therefore, protection of depth map is vital for 3D video. In this paper, a digital blind watermarking scheme based on Quantization Index Modulation (QIM) algorithm is proposed in which the information is embedded in the DCT coefficients of depth map imperceptibly. The experimental results show that the proposed scheme has good robustness against video attacks such as salt noise, median filtering, wiener filtering, and scaling. In the meanwhile, the stereo video embedded watermarking can accomplish zero distortion in comparison with the original one.

KeywordBlind Watermarking Depth Map Depth-image-based Rendering (Dibr) Quantization Index Modulation (Qim)
DOI10.1109/ICARCV.2014.7064330
URLView the original
Language英語English
WOS IDWOS:000393395800062
Scopus ID2-s2.0-84949924226
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Peking University
Recommended Citation
GB/T 7714
Guan Y.,Zhu Y.,Liu X.,et al. A digital blind watermarking scheme based on quantization index modulation in depth map for 3D video[C], 2014, 346-351.
APA Guan Y.., Zhu Y.., Liu X.., Luo G.., Sun Z.., & Zhang L. (2014). A digital blind watermarking scheme based on quantization index modulation in depth map for 3D video. 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014, 346-351.
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