Segmentation based 3D depth watermarking using SIFT

Shuvendu Rana, Sibaji Gaj, Arijit Sur, Prabin Kumar Bora

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

In this paper, a 3D image watermarking scheme is proposed to embed the watermark with the depth of the 3D image for depth image based rendering (DIBR) 3D image representation. To make the scheme invariant to view synthesis process, watermark is inserted with the scale invariant feature transform (SIFT) feature point locations obtained from the original image. Moreover, embedding zone for watermarking has been selected in such a way that no watermark can be inserted in the foreground object to avoid perceptible artefacts. Also, a novel watermark embedding policy is used to insert the watermark with the depth of the 3D image to resist the image processing attacks. A comprehensive set of experiments are carried out to justify the robustness of the proposed scheme.

LanguageEnglish
Title of host publication2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)
Place of Publication[New York]
PublisherIEEE
Number of pages6
ISBN (Print)9781509037247
DOIs
Publication statusPublished - 16 Jan 2017
Event18th IEEE International Workshop on Multimedia Signal Processing, MMSP 2016 - Montreal, Canada
Duration: 21 Sep 201623 Sep 2016

Conference

Conference18th IEEE International Workshop on Multimedia Signal Processing, MMSP 2016
CountryCanada
CityMontreal
Period21/09/1623/09/16

Fingerprint

Image watermarking
Watermarking
Image processing
Experiments

Keywords

  • 3D image
  • depth-image-based rendering (DIBR)
  • image segmentation
  • Scale invariant feature transform (SIFT)
  • watermarking

Cite this

Rana, S., Gaj, S., Sur, A., & Bora, P. K. (2017). Segmentation based 3D depth watermarking using SIFT. In 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) [7813367] [New York]: IEEE. https://doi.org/10.1109/MMSP.2016.7813367
Rana, Shuvendu ; Gaj, Sibaji ; Sur, Arijit ; Bora, Prabin Kumar. / Segmentation based 3D depth watermarking using SIFT. 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). [New York] : IEEE, 2017.
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title = "Segmentation based 3D depth watermarking using SIFT",
abstract = "In this paper, a 3D image watermarking scheme is proposed to embed the watermark with the depth of the 3D image for depth image based rendering (DIBR) 3D image representation. To make the scheme invariant to view synthesis process, watermark is inserted with the scale invariant feature transform (SIFT) feature point locations obtained from the original image. Moreover, embedding zone for watermarking has been selected in such a way that no watermark can be inserted in the foreground object to avoid perceptible artefacts. Also, a novel watermark embedding policy is used to insert the watermark with the depth of the 3D image to resist the image processing attacks. A comprehensive set of experiments are carried out to justify the robustness of the proposed scheme.",
keywords = "3D image, depth-image-based rendering (DIBR), image segmentation, Scale invariant feature transform (SIFT), watermarking",
author = "Shuvendu Rana and Sibaji Gaj and Arijit Sur and Bora, {Prabin Kumar}",
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Rana, S, Gaj, S, Sur, A & Bora, PK 2017, Segmentation based 3D depth watermarking using SIFT. in 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)., 7813367, IEEE, [New York], 18th IEEE International Workshop on Multimedia Signal Processing, MMSP 2016, Montreal, Canada, 21/09/16. https://doi.org/10.1109/MMSP.2016.7813367

Segmentation based 3D depth watermarking using SIFT. / Rana, Shuvendu; Gaj, Sibaji; Sur, Arijit; Bora, Prabin Kumar.

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). [New York] : IEEE, 2017. 7813367.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - In this paper, a 3D image watermarking scheme is proposed to embed the watermark with the depth of the 3D image for depth image based rendering (DIBR) 3D image representation. To make the scheme invariant to view synthesis process, watermark is inserted with the scale invariant feature transform (SIFT) feature point locations obtained from the original image. Moreover, embedding zone for watermarking has been selected in such a way that no watermark can be inserted in the foreground object to avoid perceptible artefacts. Also, a novel watermark embedding policy is used to insert the watermark with the depth of the 3D image to resist the image processing attacks. A comprehensive set of experiments are carried out to justify the robustness of the proposed scheme.

AB - In this paper, a 3D image watermarking scheme is proposed to embed the watermark with the depth of the 3D image for depth image based rendering (DIBR) 3D image representation. To make the scheme invariant to view synthesis process, watermark is inserted with the scale invariant feature transform (SIFT) feature point locations obtained from the original image. Moreover, embedding zone for watermarking has been selected in such a way that no watermark can be inserted in the foreground object to avoid perceptible artefacts. Also, a novel watermark embedding policy is used to insert the watermark with the depth of the 3D image to resist the image processing attacks. A comprehensive set of experiments are carried out to justify the robustness of the proposed scheme.

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Rana S, Gaj S, Sur A, Bora PK. Segmentation based 3D depth watermarking using SIFT. In 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). [New York]: IEEE. 2017. 7813367 https://doi.org/10.1109/MMSP.2016.7813367