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Spherical Panorama Image Watermarking Using Viewpoint Detection

EasyChair Preprint no. 589

15 pagesDate: October 25, 2018

Abstract

Even though interest in spherical panorama content has increased rapidly, few studies have examined watermarking techniques for this content. We present a new watermarking technique to protect spherical panorama images as well as view-images that are rendered with a specific viewpoint. Solving the watermark synchronization problem in the detection process requires finding the viewpoint of a view-image. Scale Invariant Feature Transform (SIFT) and Euclidean transformation matrix are used to find viewpoint information of a detection target viewimage. Using the viewpoint information, a view-image can be recovered to a source image and then we can detect watermark from it. The experimental results show robustness against several attacks such as JPEG compression, Gaussian filter, and noise addition attack.

Keyphrases: 360 VR watermarking, equirectangular formed image, equirectangular image, Image watermarking, Omni-directional image, spherical panorama

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:589,
  author = {Jihyeon Kang and Sangkeun Ji and Heungkyu Lee},
  title = {Spherical Panorama Image Watermarking Using Viewpoint Detection},
  howpublished = {EasyChair Preprint no. 589},
  doi = {10.29007/x163},
  year = {EasyChair, 2018}}
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