View invariant 3D video watermarking using depth based embedding

Shuvendu Rana, Sibaji Gaj, Arijit Sur

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

3 Citations (Scopus)

Abstract

In this paper, a video watermarking scheme is proposed to embed the watermarking with the depth sequences of the respective video frames for multi-view video plus depth (MVD) based 3D video sequences. To make the scheme invariant to 3D-HEVC compression attack, motion compensated temporal filtering (MCTF) is done over the video sequences to find motion-coherent connected pixels. Scale- invariant feature transform (SIFT) is done on the temporally filtered frame to make the proposed method view invariant. 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 video to resist the view synthesis as well as video compression attack and temporal scalable attack on the depth sequences. A comprehensive set of experiments is carried out to justify the robustness of the proposed scheme.

Original languageEnglish
Title of host publication2016 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2016
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages8
ISBN (Electronic)9781509028962
DOIs
Publication statusPublished - 22 Dec 2016
Event2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016 - Gold Coast, Australia
Duration: 30 Nov 20162 Dec 2016

Conference

Conference2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
CountryAustralia
CityGold Coast
Period30/11/162/12/16

Keywords

  • 3D video
  • depth-image-based rendering (DIBR); multi-view video plus depth (MVD)
  • image segmentation
  • motion compensated temporal filtering (MCTF)
  • scale invariant feature transform (SIFT)
  • watermarking

Fingerprint Dive into the research topics of 'View invariant 3D video watermarking using depth based embedding'. Together they form a unique fingerprint.

  • Cite this

    Rana, S., Gaj, S., & Sur, A. (2016). View invariant 3D video watermarking using depth based embedding. In 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016 [7797095] IEEE. https://doi.org/10.1109/DICTA.2016.7797095