English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In recent years, video watermarking has emerged as a powerful technique for ensuring copyright protection. However, ensuring the lowest level of distortion, high transparency and transparency control, integrity of the watermarked video, and robustness against attacks that can be applied to destroy the embedded watermark are important properties that should be satisfied in a watermarking system. In this paper, we propose a video watermarking system that hides a watermark in both the visual and audio streams to ensure the integrity of the watermarked video. Specifically, we propose the moving block detection (MBD) algorithm for hiding the watermark in the moving parts of the original visual stream of the video. The MDB algorithm ensures that a minimal amount of distortion is caused by embedding the watermark. The MBD uses entropy to find the moving parts of the visual stream to hide the watermark. The process of hiding in the visual stream is performed using DWT to ensure both transparency and resistance against attacks. We employ the power factors of DWT to control the level of transparency. In addition, we propose the silence deletion algorithm (SDA), which generates a pure original audio stream by removing the noise from the original audio stream to form the hiding place of the watermark within the audio stream. DCT is employed to hide the watermark within the pure original audio stream to ensure resistance against attacks. Under a threat model, which includes bilinear, curved, and LPF geometric attacks and compression and Gaussian noise non-geometric attacks, the experimental results demonstrated that the proposed system outperformed four similar systems: key-frame-, I-frame-, spread-spectrum-, and LBS-based systems.

Video Watermarking System for Copyright Protection based on Moving Parts and Silence Deletion