Segmentation based 3D depth watermarking using SIFT

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

doi:10.1109/MMSP.2016.7813367

Segmentation based 3D depth watermarking using SIFT

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

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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.

Original language	English
Title of host publication	2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)
Place of Publication	[New York]
Publisher	IEEE
Number of pages	6
ISBN (Print)	9781509037247
DOIs	https://doi.org/10.1109/MMSP.2016.7813367
Publication status	Published - 16 Jan 2017
Event	18th IEEE International Workshop on Multimedia Signal Processing, MMSP 2016 - Montreal, Canada Duration: 21 Sep 2016 → 23 Sep 2016

Conference

Conference	18th IEEE International Workshop on Multimedia Signal Processing, MMSP 2016
Country/Territory	Canada
City	Montreal
Period	21/09/16 → 23/09/16

Keywords

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

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10.1109/MMSP.2016.7813367

Cite this

@inproceedings{7388d40ba7814c1da5e5f6dd0259c65c,

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}",

year = "2017",

month = jan,

day = "16",

doi = "10.1109/MMSP.2016.7813367",

language = "English",

isbn = "9781509037247",

booktitle = "2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)",

publisher = "IEEE",

note = "18th IEEE International Workshop on Multimedia Signal Processing, MMSP 2016 ; Conference date: 21-09-2016 Through 23-09-2016",

}

TY - GEN

T1 - Segmentation based 3D depth watermarking using SIFT

AU - Rana, Shuvendu

AU - Gaj, Sibaji

AU - Sur, Arijit

AU - Bora, Prabin Kumar

PY - 2017/1/16

Y1 - 2017/1/16

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.

KW - 3D image

KW - depth-image-based rendering (DIBR)

KW - image segmentation

KW - Scale invariant feature transform (SIFT)

KW - watermarking

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U2 - 10.1109/MMSP.2016.7813367

DO - 10.1109/MMSP.2016.7813367

M3 - Conference contribution book

AN - SCOPUS:85013155824

SN - 9781509037247

BT - 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)

PB - IEEE

CY - [New York]

T2 - 18th IEEE International Workshop on Multimedia Signal Processing, MMSP 2016

Y2 - 21 September 2016 through 23 September 2016

ER -

Segmentation based 3D depth watermarking using SIFT

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