Robust Video Watermarking using Multi-Band Wavelet Transform

TL;DR

This paper presents a robust video watermarking technique using multi-band wavelet transform that embeds data in specific wavelet bands to resist malicious attacks, demonstrating superior robustness in frequency domain compared to spatial domain methods.

Contribution

The paper introduces a novel wavelet domain watermarking method that embeds data in HL and LH bands using motion estimation, enhancing robustness against attacks.

Findings

Robustness against frame dropping, filtering, and compression attacks.

Frequency domain watermarking maintains higher similarity after attacks.

Method effective on both compressed and uncompressed videos.

Abstract

This paper addresses copyright protection as a major security demand in digital marketplaces. Two watermarking techniques are proposed and compared for compressed and uncompressed video with the intention to show the advantages and the possible weaknesses in the schemes working in the frequency domain and in the spatial domain. In this paper a robust video watermarking method is presented. This method embeds data to the specific bands in the wavelet domain using motion estimation approach. The algorithm uses the HL and LH bands to add the watermark where the motion in these bands does not affect the quality of extracted watermark if the video is subjected to different types of malicious attacks. Watermark is embedded in an additive way using random Gaussian distribution in video sequences. The method is tested on different types of video (compressed DVD quality movie and uncompressed digital camera movie). The proposed watermarking method in frequency domain has strong robustness against some attacks such as frame dropping, frame filtering and lossy compression. The experimental results indicate that the similarity measure before and after certain attacks is very close to each other in frequency domain in comparison to the spatial domain.